{"id":"W4398456211","doi":"10.7910/dvn/mv25mz/nowpag","title":"common_hh_NSS_sch1.do","year":2019,"lang":"fi","type":"dataset","venue":"Harvard Dataverse","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001113347,0.000939124,0.0009152236,0.0002970513,0.0002668227,0.0004230653,0.002912022,0.001861472,0.02465677],"category_scores_gemma":[0.001086732,0.0008902933,0.0004899882,0.0002647687,0.0008598256,0.0000239891,0.003514752,0.001208558,0.3746512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001006901,"about_ca_system_score_gemma":0.0008968663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001295896,"about_ca_topic_score_gemma":0.0001067088,"domain_scores_codex":[0.9943712,0.0003043375,0.001167081,0.001282172,0.001400577,0.001474676],"domain_scores_gemma":[0.9937411,0.0001027546,0.0005036978,0.004343689,0.0003990833,0.0009096825],"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":[0.0002789238,0.0003359693,0.00008195541,0.0009107662,0.0003778553,0.00006020825,0.00003516166,0.000008213822,0.002304654,0.00001427833,0.988677,0.00691496],"study_design_scores_gemma":[0.001512707,0.001102058,0.00007648123,0.0002228969,0.0001979393,0.00004920862,0.0003216394,0.00018788,0.001843367,0.0000130778,0.9934127,0.001059982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006447414,0.00006486725,0.0002452205,0.00004780943,0.002288722,0.0009740344,0.9915803,0.00001775681,0.004136543],"genre_scores_gemma":[0.001386896,0.01436985,0.0007244082,0.001294654,0.001295372,0.00003372511,0.9734474,0.00007937263,0.007368348],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3499944,"threshold_uncertainty_score":0.9994343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.025259844184551,"score_gpt":0.2855459319718388,"score_spread":0.2602860877872878,"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."}}