{"id":"W4398990501","doi":"10.7910/dvn/v1rjpf/kgybrb","title":"iqa20150120_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Linguistic, Cultural, and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003604258,0.0003596649,0.0004899286,0.00005880419,0.001259666,0.0004504417,0.001039599,0.0003098644,0.188266],"category_scores_gemma":[0.002147002,0.0003224029,0.0001740953,0.0002603694,0.0005779542,0.000333918,0.0004793051,0.0004660106,0.6778723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001138284,"about_ca_system_score_gemma":0.0003858952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637776,"about_ca_topic_score_gemma":0.002423782,"domain_scores_codex":[0.9975618,0.0002568371,0.0003608261,0.0005896571,0.0006869573,0.0005439093],"domain_scores_gemma":[0.9984742,0.000167363,0.0002198845,0.0006143082,0.0001800045,0.000344186],"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":[0.00001944486,0.00003639984,0.00001005036,0.00007614378,0.0001113031,0.0001522747,0.003421762,1.950176e-7,3.515193e-7,0.0007366772,0.9953012,0.0001342277],"study_design_scores_gemma":[0.0002106743,0.00003197943,0.00001733253,0.00006164669,0.0001703994,0.000001325395,0.001935249,0.000001085784,5.181253e-7,0.00009055018,0.997058,0.0004212477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002969651,0.000001780622,0.000001858128,0.0000327978,0.002642977,0.0003249875,0.9864538,0.0001366166,0.01040224],"genre_scores_gemma":[0.00001455163,0.00179268,0.0002265678,0.001616744,0.003543732,0.00002416128,0.9895071,0.00001698132,0.003257468],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4896063,"threshold_uncertainty_score":0.9999228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286842488059658,"score_gpt":0.2948866536379759,"score_spread":0.2620182287573793,"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."}}