{"id":"W4394446162","doi":"10.6084/m9.figshare.20402389.v1","title":"From Black Box to Shining Spotlight","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Black box; Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.003079786,0.001161399,0.0007610676,0.002411065,0.0005278139,0.002780624,0.002031148,0.001308944,0.02532145],"category_scores_gemma":[0.01722386,0.000598172,0.0008906022,0.003242633,0.0005293337,0.002656506,0.002783644,0.002253515,0.02704486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664349,"about_ca_system_score_gemma":0.0008231684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004619086,"about_ca_topic_score_gemma":0.01732935,"domain_scores_codex":[0.9984996,0.0006107784,0.0001410013,0.0003288429,0.0003248383,0.00009488603],"domain_scores_gemma":[0.9915764,0.005063462,0.0003576941,0.00202446,0.0007218457,0.0002562026],"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":[0.0001422373,0.00005348762,0.002334727,0.0003699691,0.00002766638,0.00006610528,0.0001440181,0.001665298,0.000276136,0.0051046,0.9619843,0.02783134],"study_design_scores_gemma":[0.0002574153,0.00004283811,0.002460374,0.0002998597,0.00001733008,0.0002142095,0.0001536408,0.01024164,0.001587417,0.02630325,0.9583691,0.00005274195],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01112123,0.002520179,0.07103476,0.006815658,0.001115704,0.0002344387,0.8001915,0.0849352,0.02203129],"genre_scores_gemma":[0.03620181,0.001429133,0.144908,0.003809022,0.00031302,0.0011687,0.7905533,0.01120731,0.01040966],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02532145,"threshold_uncertainty_score":0.08470869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3733571035956747,"score_gpt":0.4613425200466697,"score_spread":0.087985416450995,"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."}}