{"id":"W6926511101","doi":"10.22008/fk2/wp1tr3/nfgfza","title":"wcvrpga4.rtl","year":2022,"lang":"de","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[],"category_scores_codex":[0.0008905338,0.002787997,0.001790521,0.005958221,0.0006519128,0.003137905,0.002327841,0.002729287,0.1428388],"category_scores_gemma":[0.006800971,0.001162491,0.001637928,0.009396598,0.0004406178,0.0009601763,0.001729049,0.001492725,0.1763111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001172166,"about_ca_system_score_gemma":0.002817745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05259406,"about_ca_topic_score_gemma":0.05848436,"domain_scores_codex":[0.9990603,0.0001270529,0.0001206418,0.0002953956,0.0001956285,0.0002009327],"domain_scores_gemma":[0.9975618,0.0007719064,0.0003475108,0.0005076069,0.0004864955,0.0003246873],"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":[0.00007597885,0.00001898571,0.001222005,0.0005958898,0.00005488696,0.000019811,0.00002334053,0.0004428744,0.00008082785,0.0002537625,0.9955433,0.001668212],"study_design_scores_gemma":[0.0005608897,0.00003596576,0.009938837,0.0004150873,0.00009790578,0.00007091369,0.0001140456,0.0008826466,0.0003114043,0.001099821,0.9864208,0.00005167131],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005699279,0.00002328892,0.00001867858,0.00001929469,0.000007814474,0.000003066848,0.9995406,0.0001373857,0.0001928663],"genre_scores_gemma":[0.0002932637,0.00003888369,0.0001025233,0.00002613706,0.000006330444,0.00003701522,0.9988708,0.00006790832,0.0005572068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8571612,"threshold_uncertainty_score":0.4778435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03464501104788161,"score_gpt":0.2691201925481883,"score_spread":0.2344751815003067,"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."}}