{"id":"W6945552838","doi":"10.25545/4upj00/rujpd1","title":"sabs.m","year":2023,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004819435,0.0005260867,0.000492785,0.0006412411,0.000118603,0.0001182185,0.001742532,0.0004581244,0.01334588],"category_scores_gemma":[0.0007254958,0.0005449684,0.0001476888,0.0008056919,0.0001639558,0.0002558578,0.001303885,0.0007837639,0.9868637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392519,"about_ca_system_score_gemma":0.0002107251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003587647,"about_ca_topic_score_gemma":0.002812811,"domain_scores_codex":[0.9971831,0.0001117304,0.0003934556,0.000880124,0.0007671282,0.0006644383],"domain_scores_gemma":[0.9956247,0.000151219,0.0002724872,0.003647186,0.00006384575,0.0002405476],"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":[0.00002733645,0.0000634244,0.000001019482,0.0001017878,0.0001213296,0.0007385714,0.00000522444,0.000004317081,0.00001246544,0.0000142856,0.9988567,0.00005352437],"study_design_scores_gemma":[0.0004368405,0.00002908166,0.00001539514,0.0001025569,0.0002411673,0.00001794481,0.00003977467,0.000007834517,0.000006381563,0.0000334963,0.9984905,0.0005790535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002229837,0.000004060762,5.965914e-7,0.000007928325,0.001827806,0.000326022,0.9968951,0.000586087,0.0003501652],"genre_scores_gemma":[9.535935e-8,0.0001667125,0.00006172247,0.0002002348,0.0006975861,0.00003113039,0.995888,0.0002116062,0.002742889],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9735178,"threshold_uncertainty_score":0.9997002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03468034378348331,"score_gpt":0.2934134220192295,"score_spread":0.2587330782357462,"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."}}