{"id":"W6921691149","doi":"10.7939/dvn/kcnxex/pmpu95","title":"namelistio","year":2020,"lang":"en","type":"dataset","venue":"University of Alberta Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001256173,0.004627613,0.002297961,0.007957198,0.001675876,0.005102688,0.003190907,0.003136323,0.3177313],"category_scores_gemma":[0.008186714,0.001203536,0.001863223,0.01092593,0.0008150825,0.00236798,0.003252841,0.002366975,0.4706225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002642199,"about_ca_system_score_gemma":0.005815384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08458034,"about_ca_topic_score_gemma":0.1324621,"domain_scores_codex":[0.9986083,0.0001939696,0.00008548988,0.0004566155,0.0003585395,0.0002971687],"domain_scores_gemma":[0.995733,0.0008413615,0.0002108127,0.001150455,0.00126222,0.0008021639],"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":[0.00002710313,0.000008690527,0.0001085592,0.0002231869,0.000008558518,0.000004926827,0.000009614538,0.00008269234,0.00003943073,0.0001485528,0.9977732,0.001565402],"study_design_scores_gemma":[0.0001630151,0.00001900758,0.001143484,0.0002215904,0.00002162387,0.00002185009,0.00006838617,0.0003342348,0.0002495612,0.001390798,0.9963338,0.00003246495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006759539,0.00009433432,0.00006961165,0.00007231725,0.00006042621,0.00001201044,0.9965155,0.001273114,0.001835082],"genre_scores_gemma":[0.0002117591,0.0001047412,0.000287513,0.00007700159,0.00001638911,0.00005144412,0.9961517,0.0003560786,0.002743362],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6822687,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009191024588706806,"score_gpt":0.1753778546865011,"score_spread":0.1661868300977943,"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."}}