{"meta":{"query_hash":"50e3c23254d5","filters":{"venue":"Srpska politička misao"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/50e3c23254d5","api":"https://metacan.xera.ac/api/v1/cohort?venue=Srpska+politi%C4%8Dka+misao"},"results":[{"id":"W4417339830","doi":"10.5937/spm94-59969","title":"Risk and responsibility at the frontier of ai: A thematic analysis of deep learning pioneers' perspectives on artificial intelligence threats and governance","year":2025,"lang":"en","type":"article","venue":"Srpska politička misao","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Corporate governance; Thematic analysis; Accountability; Subjectivity; Frontier; Optimism; Qualitative research; Nexus (standard)","score_opus":0.02774256823855611,"score_gpt":0.37018424326966837,"score_spread":0.3424416750311123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417339830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9426242,0.0011756115,0.020536933,0.012130197,0.0001632132,0.00022194773,0.000089933805,0.000027053442,0.023030914],"genre_scores_gemma":[0.99394906,0.0005559802,0.002343757,0.0006064804,0.000021434442,0.00012248164,0.000045002813,0.00004658589,0.0023092125],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9784774,0.016755568,0.0004465376,0.00088680617,0.0019087498,0.0015249224],"domain_scores_gemma":[0.95652354,0.03694004,0.0017511596,0.0009534333,0.0022438806,0.0015879737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.035498213,0.0007061609,0.0007994704,0.0042633065,0.0107611315,0.0085634105,0.0018381578,0.0023064164,0.0016450704],"category_scores_gemma":[0.029618278,0.0005303771,0.00050559436,0.0037097775,0.025313856,0.011681824,0.010520585,0.0056844647,0.0002346722],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008578073,0.00000597183,0.0006739444,0.000038477305,0.0000020413743,0.00014345246,0.9883455,0.00004048779,0.0002448503,0.008274193,0.00017972356,0.0020428079],"study_design_scores_gemma":[0.0000017895694,0.0000060386506,0.0005055852,0.000114976,0.0000024930755,0.000094713236,0.987293,0.00024010522,0.00015786405,0.0037797117,0.0077958857,0.000007804392],"about_ca_topic_score_codex":0.007158097,"about_ca_topic_score_gemma":0.00879674,"teacher_disagreement_score":0.035498213,"about_ca_system_score_codex":0.010411993,"about_ca_system_score_gemma":0.010300612,"threshold_uncertainty_score":0.18773478},"labels":[],"label_agreement":null}]}