{"id":"W4398935233","doi":"10.7910/dvn/v1rjpf/lddmzq","title":"cbb20150206_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":"Environmental science","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":[0.0004788962,0.001059401,0.001079479,0.0004482685,0.0002073118,0.0003276124,0.002642256,0.000743957,0.6830364],"category_scores_gemma":[0.001135044,0.001125202,0.0003584561,0.0006851783,0.0003023352,0.0006857285,0.002020624,0.001540071,0.9997424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003693891,"about_ca_system_score_gemma":0.000560856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000695625,"about_ca_topic_score_gemma":0.00033664,"domain_scores_codex":[0.9949861,0.0003183262,0.0008067201,0.001580223,0.00130588,0.001002749],"domain_scores_gemma":[0.9944944,0.0001414766,0.0006416041,0.00373278,0.0001576194,0.0008320613],"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":[0.0001959231,0.0001617687,0.000002149745,0.0002688216,0.000302544,0.001265858,0.00002261811,0.000003911397,0.0000965801,0.00003035231,0.9975664,0.00008304667],"study_design_scores_gemma":[0.001057394,0.00009806794,0.0000111972,0.0001389479,0.0006532065,0.00007415828,0.00005364789,0.00002062231,0.00004129819,0.00002108978,0.9966492,0.00118114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001476824,1.04621e-7,0.00001075247,0.000002483904,0.001416591,0.0007028977,0.9965069,0.0005322469,0.0008265198],"genre_scores_gemma":[0.000001226922,0.000232036,0.0004621378,0.001405988,0.001398302,0.00007958856,0.9956156,0.0002720958,0.0005330197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.316706,"threshold_uncertainty_score":0.9991198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633135137980265,"score_gpt":0.2571989793224218,"score_spread":0.2308676279426191,"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."}}