{"id":"W4399001294","doi":"10.7910/dvn/v1rjpf/fifmhi","title":"blc20160329_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":"Computer science; 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":["insufficient_payload"],"category_scores_codex":[0.001681722,0.003670707,0.002544976,0.005503712,0.001526437,0.005601929,0.005335689,0.004190676,0.3138982],"category_scores_gemma":[0.01140501,0.001316139,0.001994924,0.01027751,0.0009318907,0.003222532,0.004132357,0.002720328,0.3881759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591642,"about_ca_system_score_gemma":0.003191381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0380226,"about_ca_topic_score_gemma":0.05559251,"domain_scores_codex":[0.9985178,0.0002967615,0.0001361663,0.0004635824,0.0002713528,0.0003142462],"domain_scores_gemma":[0.9960561,0.001149492,0.0003249643,0.0009962682,0.0009863258,0.0004867919],"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":[0.00003056078,0.000006794067,0.000138547,0.0004219206,0.00001698336,0.00000556775,0.00001173931,0.00009385523,0.000035781,0.0002990514,0.9983753,0.0005638203],"study_design_scores_gemma":[0.0003214321,0.00001736835,0.001152334,0.0003847449,0.00003002903,0.00002495946,0.00006594224,0.0002556851,0.0002147025,0.001853229,0.9956441,0.00003546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002361309,0.00004636248,0.00002613945,0.0000792518,0.00002844973,0.000004448114,0.9988422,0.0003893748,0.0005601639],"genre_scores_gemma":[0.0001794109,0.00005597225,0.0001177994,0.00009474652,0.00001366051,0.00004554988,0.9984912,0.0002115905,0.0007899686],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6861018,"threshold_uncertainty_score":0.9786409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420509290967424,"score_gpt":0.2538857941765737,"score_spread":0.2296807012668995,"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."}}