{"id":"W2190389760","doi":"10.1093/oxfordhb/9780199389292.013.14","title":"Biomarkers as Inputs","year":2015,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Socioeconomic status; Psychology; Biology; Data science; Computer science; Medicine; Environmental health; Population","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003308297,0.0003257771,0.0005223503,0.0004643528,0.0001312877,0.00001833427,0.0004284573,0.0004269228,0.0002578341],"category_scores_gemma":[0.0000581729,0.0003025418,0.0001935592,0.00002356388,0.0006813913,0.00006922752,0.0003352131,0.0005755692,0.00001879382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411136,"about_ca_system_score_gemma":0.0008414293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001583907,"about_ca_topic_score_gemma":0.00001703551,"domain_scores_codex":[0.9977991,0.00002360168,0.0001751235,0.0005395322,0.00102981,0.0004328453],"domain_scores_gemma":[0.9979154,0.0000503012,0.0001316145,0.0006534853,0.0003996322,0.0008495568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003723787,0.000104488,0.000117104,0.0006547907,0.001403172,0.009182761,0.001395312,9.9876e-7,0.0006374022,0.6676436,0.2209478,0.09418875],"study_design_scores_gemma":[0.002106656,0.0004700893,0.00002500832,0.0004033135,0.0003243894,0.0001274203,0.0001116342,0.00001518838,0.0001765934,0.0004209587,0.9955462,0.0002725705],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003971961,0.000277984,0.00003752796,0.0002147424,0.0002839013,0.000612243,0.00003742264,0.0001287185,0.9980103],"genre_scores_gemma":[0.001298738,0.0004855207,0.0001342159,0.0003157784,0.0002412172,6.166206e-7,0.00005681834,0.00004083615,0.9974263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7745984,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0669250777763653,"score_gpt":0.2846943405715325,"score_spread":0.2177692627951672,"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."}}