{"id":"W6929677955","doi":"10.5064/f6gzgcjb/rqcrrv","title":"Lum_53023.Patient_PC_2018.01.19_2nd_Alberta.pdf","year":2022,"lang":"en","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Nursing Research; National Institutes of Health","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001428259,0.001247346,0.001389757,0.002326356,0.0009430453,0.003977741,0.002351935,0.001871304,0.614202],"category_scores_gemma":[0.01180929,0.0008480493,0.001039224,0.005608768,0.0003862077,0.001753575,0.002184013,0.001259166,0.3481195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003698095,"about_ca_system_score_gemma":0.004747702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09148012,"about_ca_topic_score_gemma":0.1258224,"domain_scores_codex":[0.9990911,0.0001375087,0.0001189257,0.0002282902,0.0001860149,0.000238093],"domain_scores_gemma":[0.9955698,0.001557752,0.0003269089,0.0005937284,0.001301417,0.0006503076],"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":[0.00003620321,0.000004898165,0.0002123283,0.0002506785,0.00000583357,0.000007719062,0.000008288486,0.00003251998,0.000008785315,0.0003031616,0.9970732,0.002056414],"study_design_scores_gemma":[0.0004588236,0.00001445354,0.002812173,0.0009931679,0.00002449322,0.00005558867,0.00008569349,0.0001889221,0.0001644371,0.001866446,0.993304,0.00003190554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005433162,0.00005586006,0.00004033223,0.0002026216,0.00002881145,0.00001749121,0.9944896,0.0001872735,0.004923735],"genre_scores_gemma":[0.001475809,0.0003068115,0.0003731032,0.0005120173,0.00005641381,0.0003735177,0.9831063,0.0003853175,0.01341067],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.385798,"threshold_uncertainty_score":0.550294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443399100151669,"score_gpt":0.2548648008187333,"score_spread":0.2204308098172166,"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."}}