{"id":"W2783553513","doi":"10.17605/osf.io/m7aen","title":"Outcome: Chronic Condition","year":2018,"lang":"en","type":"article","venue":"Open Science Framework","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Outcome (game theory); Economics; Mathematical economics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001329717,0.0000787571,0.0002056122,0.00008747473,0.000518823,0.0001028882,0.0004379984,0.00007438595,0.001067442],"category_scores_gemma":[0.0004249248,0.00006420013,0.00003580679,0.000859596,0.0007226704,0.0003059073,0.0002392278,0.0002447157,0.001379441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005534284,"about_ca_system_score_gemma":0.001700184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759856,"about_ca_topic_score_gemma":0.00002240129,"domain_scores_codex":[0.9984722,0.00001976931,0.0002269802,0.0003488234,0.0004335029,0.0004987673],"domain_scores_gemma":[0.9986567,0.0000470348,0.00005837156,0.0005340119,0.0001344565,0.0005694077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006617355,0.0005386336,0.44618,0.0005596118,0.00001562838,0.00007195473,0.002350881,0.000001275846,0.01090668,0.08923634,0.03799084,0.4114865],"study_design_scores_gemma":[0.002099696,0.003296757,0.6197055,0.0009350399,0.00004184212,0.0002868257,0.0005753483,0.0002294347,0.01307809,0.007159631,0.3522066,0.0003852645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8064105,0.00009869078,0.001585628,0.007138178,0.002669025,0.001561078,0.000009709215,0.00005992537,0.1804672],"genre_scores_gemma":[0.9800497,0.00001969207,0.007547454,0.01036278,0.0008017752,0.00002928919,0.000004757693,0.000007779472,0.001176766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111012,"threshold_uncertainty_score":0.9998457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05349721776567651,"score_gpt":0.481569941790115,"score_spread":0.4280727240244385,"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."}}