{"id":"W4399016971","doi":"10.7910/dvn/v1rjpf/dff7sd","title":"cbb20170301_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00166438,0.004059231,0.0027672,0.006223492,0.001654697,0.00603424,0.005786448,0.004442756,0.3261987],"category_scores_gemma":[0.01099091,0.001392995,0.001964098,0.01099824,0.0009836743,0.003493174,0.004407237,0.002832427,0.3978652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002720103,"about_ca_system_score_gemma":0.003306834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04325036,"about_ca_topic_score_gemma":0.05965969,"domain_scores_codex":[0.9985891,0.0002738753,0.0001257118,0.0004450411,0.0002687441,0.0002974732],"domain_scores_gemma":[0.9960579,0.001182043,0.0003025928,0.000986114,0.0009586688,0.000512782],"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":[0.00003379986,0.000007612359,0.0001362332,0.0004521399,0.00001666883,0.000006464765,0.00001304041,0.00009084135,0.00004132522,0.0003223168,0.9983311,0.0005483573],"study_design_scores_gemma":[0.0003222273,0.00001714307,0.001167122,0.0004117023,0.00002880527,0.00002644009,0.00007086147,0.0002725139,0.000231753,0.00185124,0.9955631,0.00003698731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000255476,0.00004998488,0.00002719227,0.00007604808,0.00002685045,0.000004817868,0.9987243,0.0004577149,0.0006075477],"genre_scores_gemma":[0.000182902,0.0000563262,0.0001197667,0.00008693102,0.00001213959,0.00004587252,0.9985132,0.0002474876,0.0007354657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6738013,"threshold_uncertainty_score":0.9610958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02661897538379172,"score_gpt":0.2587918372142936,"score_spread":0.2321728618305019,"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."}}