{"id":"W4398525304","doi":"10.7910/dvn/8ywcf9/9gxalk","title":"appendix.do","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Appendix; Computer science; Geology; Paleontology","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":[0.001382548,0.001988954,0.001788419,0.005470317,0.0008014743,0.004189867,0.003128955,0.002223773,0.5570788],"category_scores_gemma":[0.01782839,0.0009741528,0.001074426,0.01106207,0.0005350373,0.003582253,0.002769887,0.001672683,0.4795477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167042,"about_ca_system_score_gemma":0.002541579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01918679,"about_ca_topic_score_gemma":0.02789263,"domain_scores_codex":[0.9989035,0.0002158491,0.0001506276,0.000352727,0.0001853641,0.000191907],"domain_scores_gemma":[0.9927406,0.002760542,0.0006112889,0.001544976,0.001770128,0.0005726482],"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":[0.00001963931,0.000005789745,0.0001730363,0.000338827,0.00001120593,0.000004223082,0.000006679672,0.00005441943,0.00001332309,0.0002703507,0.9980957,0.001006917],"study_design_scores_gemma":[0.0002711716,0.00001393591,0.001371446,0.000535312,0.00002225814,0.00003254004,0.000064186,0.0001863452,0.000135654,0.002576932,0.9947649,0.0000253727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001705816,0.00002980004,0.00003260781,0.00006211365,0.0000198153,0.000005927398,0.9986731,0.0002550145,0.0009046085],"genre_scores_gemma":[0.0003455348,0.00007431296,0.0001980527,0.0001488467,0.00002273401,0.00009758664,0.9967893,0.0002790987,0.002044498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4429212,"threshold_uncertainty_score":0.6317732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461765278220384,"score_gpt":0.2676212946420934,"score_spread":0.2430036418598895,"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."}}