{"id":"W4241686456","doi":"10.1002/hsr2.65","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Health Science Reports","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cognitive science; Data science; Psychology","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.003130679,0.0002244361,0.0007643302,0.0008000841,0.0004897912,0.0003828975,0.0003881687,0.0001301092,0.03477839],"category_scores_gemma":[0.0001049447,0.0002489047,0.0001139179,0.0006271571,0.0003556809,0.001393686,0.0002521489,0.0002182035,0.6045282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00066891,"about_ca_system_score_gemma":0.0009560974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008193653,"about_ca_topic_score_gemma":0.00000316425,"domain_scores_codex":[0.9967327,0.000003444031,0.00156101,0.0008149301,0.0001377905,0.0007501087],"domain_scores_gemma":[0.9963661,0.00001067852,0.002449331,0.0008402406,0.000100266,0.0002333587],"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":[8.738876e-7,0.00001010717,0.0005409188,0.0001437858,0.000007621886,0.00000106381,0.0004717367,0.0001028587,8.087576e-8,0.001994258,0.9960836,0.0006431604],"study_design_scores_gemma":[0.00006719006,0.00002706261,0.000625865,0.00004880572,8.998598e-7,0.00002199319,0.0002069911,0.0001342658,0.000002900483,0.0002654344,0.9983454,0.0002531798],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001391455,0.002787413,0.0001328945,0.0006532616,0.07934134,0.0004875009,0.0003199604,0.00002579775,0.9161127],"genre_scores_gemma":[0.00508177,0.001514119,0.0002375912,0.00187913,0.0002970182,0.00002622326,0.0001114954,0.00001334714,0.9908393],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5697499,"threshold_uncertainty_score":0.9999963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655053698823818,"score_gpt":0.2790819473419523,"score_spread":0.2325314103537141,"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."}}