{"id":"W4398889890","doi":"10.7910/dvn/v1rjpf/nad3ko","title":"cbb20150809_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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001649337,0.003672771,0.002569911,0.006075307,0.001570522,0.0061112,0.00534094,0.004117685,0.3357305],"category_scores_gemma":[0.01123912,0.001330059,0.00192811,0.01112879,0.0009401172,0.003411649,0.004411261,0.002732371,0.3942086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002694975,"about_ca_system_score_gemma":0.003251168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04551623,"about_ca_topic_score_gemma":0.06171994,"domain_scores_codex":[0.9986066,0.0002745604,0.0001296281,0.0004268206,0.0002693909,0.0002930123],"domain_scores_gemma":[0.9959731,0.001173414,0.0003151779,0.001005729,0.001029314,0.0005033599],"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":[0.00003150007,0.000006531789,0.0001426364,0.0004194384,0.0000159681,0.000005877066,0.00001242357,0.00008901937,0.00003526808,0.0003475806,0.998338,0.0005558095],"study_design_scores_gemma":[0.0002785732,0.00001478351,0.001152563,0.0004019502,0.00002557059,0.00002365543,0.0000705162,0.0002349467,0.0001952202,0.001773558,0.9957951,0.00003357507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002272392,0.00004523783,0.00002483858,0.00007751163,0.00002755154,0.000004253458,0.9987978,0.0003872469,0.0006127869],"genre_scores_gemma":[0.0001910083,0.00005725383,0.0001166109,0.00008987256,0.00001282967,0.00004305582,0.9984504,0.0002369631,0.0008019392],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6642695,"threshold_uncertainty_score":0.9474998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633682481075176,"score_gpt":0.2574856251301236,"score_spread":0.2311488003193719,"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."}}