{"id":"W4398957453","doi":"10.7910/dvn/wwlqkq/cc9qyr","title":"bfbreaks_5Feb2019CSVversion.tab","year":2019,"lang":"it","type":"dataset","venue":"Harvard Dataverse","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Legislation; Breastfeeding; Geography; Business; Political science; Law; Medicine; Pediatrics","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":[],"consensus_categories":[],"category_scores_codex":[0.001241227,0.002777073,0.002293982,0.004852738,0.001317766,0.004364872,0.003243746,0.002919558,0.2651628],"category_scores_gemma":[0.008871464,0.001096396,0.00153324,0.007681339,0.0006424133,0.002168192,0.002683996,0.002362287,0.2176808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959438,"about_ca_system_score_gemma":0.002713026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01804361,"about_ca_topic_score_gemma":0.02667741,"domain_scores_codex":[0.9988672,0.0001696377,0.0001136748,0.000405564,0.0002370028,0.0002069501],"domain_scores_gemma":[0.9972259,0.001078791,0.0002557789,0.0005889265,0.0004422958,0.0004080865],"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":[0.00009261489,0.00001441608,0.0004535906,0.00104148,0.00003892728,0.00001792879,0.00002054848,0.0001811196,0.000125467,0.0006560549,0.9958991,0.001458651],"study_design_scores_gemma":[0.0003512491,0.00001621788,0.001901215,0.0003401541,0.00004539222,0.00004338252,0.00004324612,0.0002451827,0.0003947048,0.00208269,0.9945049,0.00003155952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000539684,0.00006919833,0.00004220238,0.00005250328,0.00001644404,0.000004741306,0.9985281,0.000506885,0.0007258545],"genre_scores_gemma":[0.0004160091,0.00007564999,0.0001699763,0.00007420193,0.000008314,0.00004174647,0.9982421,0.0002835302,0.0006883955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2651628,"threshold_uncertainty_score":0.887058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01493979962960375,"score_gpt":0.2528249606752963,"score_spread":0.2378851610456925,"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."}}