{"id":"W2775806841","doi":"10.22541/au.151145892.26105335","title":"PREreview Journal Club - InBio Journal Club at IBIS - 27 OCT 2017        ","year":2017,"lang":"en","type":"dataset","venue":"Authorea","topic":"Library Science and Information","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Journal club; Ibis; Club; Biology; Phenotype; Evolutionary biology; Genetics; Ecology; Computer science; Gene; Anatomy; World Wide Web","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":[],"category_scores_codex":[0.002453027,0.0004740807,0.0006342382,0.0004168675,0.002041537,0.005120506,0.008277089,0.0004080212,0.0005673263],"category_scores_gemma":[0.0003279269,0.0003456696,0.0003973591,0.0002735992,0.0002018049,0.01367291,0.001712452,0.001489179,0.00474785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870811,"about_ca_system_score_gemma":0.0008774737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000031464,"about_ca_topic_score_gemma":0.00001541108,"domain_scores_codex":[0.9962043,0.0002406728,0.001059248,0.0004817636,0.001246603,0.0007673762],"domain_scores_gemma":[0.99459,0.00007017639,0.002292679,0.002224981,0.0002169772,0.0006051642],"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":[0.000004460208,0.00002315198,0.00002775864,0.00006443015,0.00003012754,0.0001178002,0.0001585534,0.000002861864,0.000001125714,0.0001349352,0.9808828,0.01855202],"study_design_scores_gemma":[0.0002374174,0.0001839513,0.0005620856,0.0004845927,0.00004086885,0.003473742,0.000005698498,0.0003536948,0.00001407613,0.001233625,0.9929565,0.0004538147],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001258168,0.01189326,0.008137939,0.01143779,0.03551747,0.001124214,0.9210739,0.0002142179,0.01047545],"genre_scores_gemma":[0.00007920888,0.05602323,0.009418439,0.005779922,0.005587894,0.00002113068,0.9108836,0.00004681019,0.01215975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04412997,"threshold_uncertainty_score":0.9998995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04492758276732396,"score_gpt":0.3145696178629363,"score_spread":0.2696420350956124,"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."}}