{"id":"W4398836855","doi":"10.7910/dvn/v1rjpf/qervib","title":"cbb20161027_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":[0.001626898,0.003705693,0.002746155,0.006262922,0.001682964,0.006352551,0.005718441,0.004324228,0.342358],"category_scores_gemma":[0.01186928,0.00136833,0.002004395,0.0118816,0.0009817661,0.003393339,0.004607654,0.002817863,0.3974537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002746891,"about_ca_system_score_gemma":0.003486862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04627504,"about_ca_topic_score_gemma":0.06456945,"domain_scores_codex":[0.9985537,0.0002785325,0.0001384151,0.0004577156,0.000268076,0.0003035524],"domain_scores_gemma":[0.9957727,0.001262975,0.0003407455,0.001018265,0.00106904,0.0005362006],"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":[0.00003285738,0.000006822009,0.0001415041,0.0005170476,0.00001782856,0.000006301305,0.00001405411,0.00008381502,0.00003965735,0.0003520012,0.9982265,0.000561735],"study_design_scores_gemma":[0.0003003312,0.00001485412,0.001109027,0.0004507836,0.00002965959,0.00002366979,0.00007294863,0.0002059591,0.0001940056,0.001767669,0.9957964,0.00003473979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002208905,0.0000497943,0.00002399734,0.0000760171,0.00002694247,0.000004503646,0.998843,0.0003581884,0.0005954241],"genre_scores_gemma":[0.0001864611,0.00006395508,0.0001235728,0.00009905225,0.0000130066,0.00004968382,0.9984029,0.0002356828,0.0008257796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.657642,"threshold_uncertainty_score":0.9380465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02454532023223658,"score_gpt":0.2544716523423119,"score_spread":0.2299263321100753,"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."}}