{"id":"W4398892652","doi":"10.7910/dvn/v1rjpf/i79cnx","title":"snk20170410_03.txt.gz","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Physics","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":[0.0004671269,0.00105085,0.001069648,0.0004532118,0.000227308,0.0003477013,0.002750786,0.0007366781,0.8185806],"category_scores_gemma":[0.001146433,0.001113676,0.0003660863,0.0006174846,0.0003082994,0.000700402,0.002061433,0.001523485,0.9996445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003462451,"about_ca_system_score_gemma":0.0005211777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007058682,"about_ca_topic_score_gemma":0.0003752343,"domain_scores_codex":[0.9951234,0.0003034375,0.0007839875,0.001568062,0.001223577,0.0009975787],"domain_scores_gemma":[0.9943387,0.000138022,0.0006676014,0.003922594,0.000154141,0.0007789659],"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":[0.0001800754,0.0001571395,0.00000237694,0.0002741599,0.0003073872,0.001238358,0.0000207888,0.000003278501,0.0001275757,0.00003323968,0.9975777,0.00007791505],"study_design_scores_gemma":[0.001030898,0.0000879256,0.00001565145,0.0001458376,0.0006468504,0.00007000224,0.00004309406,0.00001919666,0.000043482,0.00001926311,0.9967092,0.001168579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00000155708,1.114262e-7,0.0000104067,0.000002269349,0.001466899,0.0006962499,0.9964619,0.0005109181,0.0008496808],"genre_scores_gemma":[0.000001532667,0.0002335318,0.0004126165,0.001318435,0.001328475,0.00007635849,0.9958223,0.0002628659,0.0005439367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1810639,"threshold_uncertainty_score":0.9991313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653022377281273,"score_gpt":0.2586567209836112,"score_spread":0.2321264972107985,"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."}}