{"id":"W6930076801","doi":"10.5281/zenodo.1002893","title":"jmonlong/epipopsv: Pre-publication","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant and Biological Electrophysiology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Wilcoxon signed-rank test; Graph; Odds ratio; Test (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003898487,0.002771657,0.001927053,0.006551016,0.001262135,0.007138806,0.002875374,0.001588454,0.5262045],"category_scores_gemma":[0.01789391,0.001541627,0.003036615,0.005005421,0.0007961054,0.00321599,0.004112385,0.002255967,0.391377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001088147,"about_ca_system_score_gemma":0.002465023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005794044,"about_ca_topic_score_gemma":0.009760994,"domain_scores_codex":[0.9973274,0.0004150904,0.0003411368,0.0006839299,0.0008671307,0.0003652702],"domain_scores_gemma":[0.9896882,0.003035887,0.0006815796,0.0029346,0.002418767,0.001241037],"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":[0.0003171085,0.00003005209,0.001408307,0.0005822301,0.0001411906,0.0001150043,0.00004969668,0.0001414773,0.0005420314,0.0006482279,0.9818751,0.0141495],"study_design_scores_gemma":[0.0003192581,0.00004383296,0.004235414,0.0002875717,0.0001330499,0.0001822761,0.0000440179,0.0003942845,0.001438251,0.003174999,0.9896761,0.0000709345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002090482,0.0008310435,0.01091281,0.002009948,0.005125125,0.0002006865,0.8885036,0.05371443,0.0366119],"genre_scores_gemma":[0.007327748,0.000535915,0.01143198,0.00100744,0.001589673,0.0004641376,0.8269475,0.09309304,0.05760253],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.5262045,"threshold_uncertainty_score":0.6758118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03735548478715442,"score_gpt":0.2320120058370158,"score_spread":0.1946565210498613,"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."}}