{"id":"W6887705615","doi":"10.17605/osf.io/s46pm","title":"Predictions","year":2015,"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); Set (abstract data type); Work (physics)","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002116968,0.0002946424,0.0003602588,0.0006462818,0.0003176247,0.001272865,0.008660382,0.00044857,0.02153548],"category_scores_gemma":[0.002072774,0.0002612472,0.00003763145,0.00457159,0.00196449,0.0005401468,0.002383194,0.0007057379,0.07943285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341179,"about_ca_system_score_gemma":0.002489222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006286771,"about_ca_topic_score_gemma":0.000231947,"domain_scores_codex":[0.9964842,0.00005618614,0.0001978144,0.001028092,0.0015682,0.0006654611],"domain_scores_gemma":[0.9965633,0.0000432194,0.0002777212,0.002367252,0.0001994627,0.0005490865],"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":[0.000003039527,0.00004320016,0.00006708041,0.000002722294,0.000009181107,0.000004361467,0.0001135814,0.000008629709,0.00001411689,0.008072477,0.9912124,0.0004492632],"study_design_scores_gemma":[0.00009001631,0.000030998,0.00005690636,0.0005375206,0.00002062885,0.000007413783,0.00008084782,0.00005520539,0.000006609043,0.007236562,0.9915497,0.0003276341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002029654,0.0002534144,0.0008679928,0.0001588892,0.002342586,0.0009873202,0.0005756575,0.0005393834,0.9942727],"genre_scores_gemma":[0.0002100554,0.00001111448,0.0460272,0.0002157862,0.0007405378,0.00009797098,0.00002912376,0.0008320493,0.9518362],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05789737,"threshold_uncertainty_score":0.999984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05142678647582172,"score_gpt":0.3855767293169391,"score_spread":0.3341499428411174,"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."}}