{"id":"W4398586475","doi":"10.7910/dvn/8ys0bb/qcjvfv","title":"Replication_Data.tab","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Replication (statistics); Computer science; Biology; Virology","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":[0.0004733198,0.0007097292,0.0007330005,0.00033497,0.0001774605,0.0002921484,0.003111298,0.000474511,0.1594017],"category_scores_gemma":[0.001947606,0.0007699915,0.0002136265,0.0007331956,0.0002147364,0.000746001,0.00214702,0.001059885,0.9955968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002470607,"about_ca_system_score_gemma":0.0003707314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003968879,"about_ca_topic_score_gemma":0.0001209879,"domain_scores_codex":[0.995729,0.000230064,0.000768216,0.001693004,0.000974774,0.0006049873],"domain_scores_gemma":[0.990859,0.0001193812,0.0007142885,0.007588007,0.000157193,0.0005621187],"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":[0.0001018798,0.0001135681,0.000001273763,0.0001575659,0.000151864,0.0002238892,0.000008794573,0.000001476691,0.00008018874,0.00003629662,0.9990203,0.0001028823],"study_design_scores_gemma":[0.0006136323,0.00003948957,0.00001324812,0.00007222628,0.0003637128,0.00004546781,0.00002511418,0.00001815286,0.00004151666,0.00001638132,0.9979669,0.0007840941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.286046e-7,5.485546e-7,0.00002388168,0.00001749063,0.0006387009,0.0006485373,0.9978307,0.000497288,0.0003424949],"genre_scores_gemma":[3.658567e-7,0.0003042233,0.0006218253,0.001875518,0.001236898,0.0001265572,0.9953468,0.0001634796,0.0003243546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8361951,"threshold_uncertainty_score":0.9994751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02840064021268636,"score_gpt":0.2705374523609086,"score_spread":0.2421368121482223,"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."}}