{"id":"W6940578863","doi":"10.11587/sau5aj/c91ls1","title":"10272_sx_en_v1_0.do","year":2020,"lang":"en","type":"dataset","venue":"AUSSDA - The Austrian Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"European Commission","keywords":"Syntax; Replication (statistics); Class (philosophy); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005488764,0.001946336,0.001813097,0.004635791,0.000961511,0.003565667,0.003979153,0.001645025,0.5048549],"category_scores_gemma":[0.03046025,0.001944008,0.001749727,0.007804479,0.0007568507,0.00222197,0.003212585,0.002216163,0.3848612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205133,"about_ca_system_score_gemma":0.002800401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01320916,"about_ca_topic_score_gemma":0.01789939,"domain_scores_codex":[0.9965317,0.001304337,0.0005238889,0.0007766541,0.0004755074,0.0003879154],"domain_scores_gemma":[0.9858835,0.006508758,0.0007861317,0.004163448,0.00206155,0.000596567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004644646,0.000008870296,0.0003379158,0.0002834752,0.00002163773,0.000006616363,0.00002448275,0.0001627978,0.00002519419,0.0007664145,0.9962152,0.002101123],"study_design_scores_gemma":[0.0004719448,0.00001655351,0.001626305,0.0002524217,0.00003123471,0.00003094598,0.00006428038,0.0003474003,0.0002380315,0.003543693,0.9933389,0.00003835225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000059349,0.000020062,0.0004351003,0.00009157033,0.00002787339,0.00004000442,0.9963309,0.001410653,0.001584433],"genre_scores_gemma":[0.0009873813,0.0000601687,0.00210096,0.0001945564,0.00003669273,0.001078685,0.9879208,0.002721612,0.004899081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4951451,"threshold_uncertainty_score":0.7062644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156557447478745,"score_gpt":0.3656279749158027,"score_spread":0.2499722301679282,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}