{"id":"W6944017992","doi":"10.17605/osf.io/arnms","title":"ManyBabies 1: Data Archive","year":2023,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"","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","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002881665,0.000296437,0.0003262431,0.0002290874,0.0006020181,0.001244633,0.002528668,0.0000749238,0.6671283],"category_scores_gemma":[0.001216447,0.0003017249,0.0001484683,0.00009553693,0.0005210927,0.001345616,0.004111107,0.0004253036,0.9081732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005749107,"about_ca_system_score_gemma":0.00007699611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000301693,"about_ca_topic_score_gemma":0.001197311,"domain_scores_codex":[0.9965503,0.0002275758,0.0004830804,0.001696793,0.0004566329,0.0005856528],"domain_scores_gemma":[0.9942462,0.0005240863,0.0001451348,0.004790024,0.0001096624,0.0001849201],"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":[0.00006187474,0.0001652402,0.001382755,0.0001022237,0.0001676723,0.00007713427,0.01943447,0.00005391942,0.00008949162,0.4032125,0.5584251,0.01682758],"study_design_scores_gemma":[0.0002435274,0.000001121829,0.002066479,0.00005169613,0.00003364942,0.000008973139,0.003594501,0.0003535097,0.00008144631,0.06376643,0.9294535,0.0003451768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0567602,0.000001533742,0.00003302994,0.0004215419,0.0006913073,0.0003855916,0.0004377666,0.000537249,0.9407318],"genre_scores_gemma":[0.2460746,0.00005764624,0.00007714597,0.0002654335,0.000434297,0.00007693403,0.0005475486,0.00005195628,0.7524144],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3710284,"threshold_uncertainty_score":0.9999435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08104845307569003,"score_gpt":0.2692239878142534,"score_spread":0.1881755347385634,"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."}}