{"id":"W4398817223","doi":"10.7910/dvn/v1rjpf/oqbcer","title":"blc20150227_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":[0.001685974,0.003676893,0.00261288,0.005608366,0.001567727,0.00566631,0.005372438,0.004306238,0.3244665],"category_scores_gemma":[0.01156265,0.001319887,0.001988643,0.01048834,0.0009637057,0.003247413,0.004130485,0.002714555,0.3899494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002658743,"about_ca_system_score_gemma":0.00324723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0383168,"about_ca_topic_score_gemma":0.05637589,"domain_scores_codex":[0.9985044,0.0003028261,0.0001376981,0.0004707404,0.0002701778,0.0003141449],"domain_scores_gemma":[0.9959639,0.001227039,0.0003321155,0.0009954647,0.0009905744,0.0004909365],"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":[0.00003190134,0.000006970681,0.0001432203,0.0004598518,0.00001770713,0.000005885754,0.00001251065,0.00009636494,0.00003703911,0.0003092265,0.9983104,0.0005689413],"study_design_scores_gemma":[0.0003318967,0.00001759468,0.001158264,0.0004105235,0.00003171234,0.00002591181,0.000068398,0.0002503196,0.0002127959,0.001901902,0.9955546,0.00003601295],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002382552,0.00004865643,0.00002583165,0.00007924901,0.00002730581,0.000004495233,0.9988443,0.0003735358,0.0005728146],"genre_scores_gemma":[0.0001847402,0.00005894429,0.0001173972,0.00009759182,0.00001353694,0.00004694991,0.9984797,0.0002094433,0.0007917455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6755335,"threshold_uncertainty_score":0.9635665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585107766241201,"score_gpt":0.2566338277508295,"score_spread":0.2307827500884175,"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."}}