{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001810682,0.001106802,0.00138739,0.003647208,0.001428395,0.005758835,0.002061738,0.002268854,0.9381704],"category_scores_gemma":[0.0133792,0.0005181674,0.0009106385,0.003225195,0.000434846,0.00310504,0.00200794,0.001959557,0.8766273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001470735,"about_ca_system_score_gemma":0.002765586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002309562,"about_ca_topic_score_gemma":0.004284461,"domain_scores_codex":[0.9983687,0.0002038693,0.000141125,0.0002119917,0.000856361,0.0002179716],"domain_scores_gemma":[0.9920921,0.001221214,0.0003465974,0.0008487678,0.003888621,0.001602702],"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":[0.00002552341,0.00001709622,0.00004002015,0.0001251944,0.000001625719,0.00001279393,0.000007312906,0.00001554157,0.0000584484,0.0009367699,0.9805785,0.01818121],"study_design_scores_gemma":[0.00001237959,0.00001258556,0.0001745243,0.0001100473,0.000001573325,0.00002104808,0.00001773923,0.00002902495,0.00006852006,0.0005006903,0.9990484,0.000003599244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003191927,0.0008575136,0.0008658671,0.006247933,0.019761,0.0005756261,0.06053978,0.002314267,0.9085187],"genre_scores_gemma":[0.00122624,0.0006084442,0.0003851264,0.001632464,0.001946293,0.0001732281,0.01835912,0.0005982487,0.9750709],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06182963,"threshold_uncertainty_score":0.08819246,"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."}}