{"id":"W3017120527","doi":"10.17605/osf.io/xbs23","title":"ManyBabies 1: Final analysis repository","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007223535,0.004087031,0.003223243,0.01335167,0.002909596,0.0123828,0.005266015,0.003756961,0.6477463],"category_scores_gemma":[0.04919156,0.002054562,0.004174671,0.009829698,0.00101484,0.005798267,0.005194311,0.003853254,0.6075031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002383168,"about_ca_system_score_gemma":0.007176362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009707271,"about_ca_topic_score_gemma":0.009505334,"domain_scores_codex":[0.9911219,0.002006455,0.0006396542,0.001190662,0.00384952,0.001191791],"domain_scores_gemma":[0.9626496,0.007909376,0.001041194,0.01290234,0.0142523,0.001245176],"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":[0.0001280036,0.00002788117,0.0003936449,0.0001698916,0.00006960074,0.00002311649,0.00002572834,0.000410997,0.00016779,0.003800217,0.986671,0.008112024],"study_design_scores_gemma":[0.0003170829,0.00004695551,0.002553153,0.0002933726,0.00015024,0.00008979636,0.0001305406,0.007820214,0.002949415,0.04218655,0.9433151,0.000147572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001639592,0.0004462629,0.04215254,0.003063418,0.003672841,0.0002871727,0.6924204,0.1813582,0.07495958],"genre_scores_gemma":[0.02024438,0.0005910387,0.04506289,0.0009548386,0.001546494,0.0008944303,0.6340258,0.1916112,0.1050689],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6477463,"threshold_uncertainty_score":0.5024472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145378579411355,"score_gpt":0.2510454146780433,"score_spread":0.2365075567369078,"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."}}