{"id":"W6906587780","doi":"10.17605/osf.io/7uz8f","title":"ActOVA","year":2018,"lang":"en","type":"other","venue":"Open Science Framework","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002023976,0.0004008074,0.0004690641,0.000652058,0.0003606005,0.002027446,0.01490594,0.0005959361,0.1358044],"category_scores_gemma":[0.001884307,0.0003420688,0.00006285799,0.003995004,0.003814367,0.0005416267,0.003751091,0.000534596,0.3807088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002165659,"about_ca_system_score_gemma":0.001081397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005060002,"about_ca_topic_score_gemma":0.0001498296,"domain_scores_codex":[0.9958922,0.00005942455,0.0002188615,0.001439601,0.00144892,0.0009410302],"domain_scores_gemma":[0.9957559,0.00007280194,0.0004162443,0.003236411,0.0001336241,0.0003850163],"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":[0.000005594986,0.00003405047,0.0001492405,0.000004935733,0.000009872135,0.000006758595,0.00007454029,1.199922e-7,0.0001555368,0.01098198,0.9861135,0.00246387],"study_design_scores_gemma":[0.00007905714,0.00003916951,0.0001380892,0.0008896517,0.00001335903,0.000005334502,0.00003385745,0.000007867285,0.0002064732,0.00648671,0.991598,0.0005024092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002210209,0.00008263024,0.0005351988,0.0001209011,0.00230076,0.000939731,0.00007181123,0.0003683724,0.9955585],"genre_scores_gemma":[0.0003714858,0.00001045438,0.09721442,0.0004567787,0.001114786,0.00004664088,0.000006608739,0.00112498,0.8996539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2449044,"threshold_uncertainty_score":0.9999031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421984483800408,"score_gpt":0.3941236948834188,"score_spread":0.351925246503378,"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."}}