{"id":"W6907720696","doi":"10.24433/co.7209395.v1","title":"ToxicoDB - Nucleic Acid Research","year":2020,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network","funders":"","keywords":"Nucleic acid; Quality (philosophy); Source code; DNA; Code (set theory)","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":[0.0006018382,0.0003980675,0.0004905837,0.0006673184,0.0001041439,0.000126211,0.001232954,0.0005040983,0.0245568],"category_scores_gemma":[0.0003616516,0.0004027807,0.0001344211,0.0008622788,0.0003594607,0.00003960785,0.0005041436,0.001264631,0.2180478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002073276,"about_ca_system_score_gemma":0.0002183127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005945178,"about_ca_topic_score_gemma":0.0002068036,"domain_scores_codex":[0.9965896,0.0003538994,0.0002291695,0.0008618418,0.001145832,0.0008196728],"domain_scores_gemma":[0.9981073,0.00005278549,0.0001393108,0.001212668,0.00007338633,0.000414577],"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":[0.00002673833,0.00005258483,0.00006474734,0.0001218273,0.00008020913,0.0001261445,0.0001678997,1.332841e-7,0.003123231,0.001138852,0.9946506,0.0004470074],"study_design_scores_gemma":[0.0003470625,0.0000775458,0.00002707632,0.0002465117,0.00002384596,0.000005688711,0.0000559997,0.00004544342,0.0008433562,0.0002548629,0.997667,0.000405623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007590499,0.001738146,0.000005782193,0.0004368134,0.0003171545,0.000564429,0.00131939,0.001664348,0.993878],"genre_scores_gemma":[0.004659356,0.00008616177,0.0005084472,0.0002028775,0.001909193,0.00000764573,0.0002441275,0.006118712,0.9862635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.193491,"threshold_uncertainty_score":0.9998424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1172866355423038,"score_gpt":0.3761242280055328,"score_spread":0.258837592463229,"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."}}