{"id":"W2777122112","doi":"10.1503/cmaj.171336","title":"Medical sensations: experience doctoring","year":2017,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science; World Wide Web; Multimedia","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002153304,0.0001428015,0.00031058,0.0001868374,0.0008248744,0.000352322,0.0005098108,0.0003711489,0.007342393],"category_scores_gemma":[0.03952898,0.0001235525,0.0001098686,0.00009552502,0.0002170783,0.0004309663,0.00004795347,0.00136972,0.0003463748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070634,"about_ca_system_score_gemma":0.004799111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002095177,"about_ca_topic_score_gemma":0.003991587,"domain_scores_codex":[0.9950227,0.00006033212,0.0005156897,0.000203797,0.003593533,0.0006040006],"domain_scores_gemma":[0.994208,0.0001672847,0.000323519,0.0003699056,0.000565372,0.004365887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000132479,0.00006703699,0.7012376,0.00002106394,0.0001557382,0.00793232,0.0008754875,6.396451e-7,0.00002991117,0.0005823211,0.1553442,0.1337405],"study_design_scores_gemma":[0.002404659,0.00007550767,0.2429694,0.0007471758,0.00004754446,0.005881324,0.0006771176,0.0008972834,0.00005374506,0.0002312545,0.7457918,0.0002231788],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.569399,0.0002512647,0.000328715,0.3120619,0.004867204,0.0002093916,0.000008741175,0.0000798241,0.112794],"genre_scores_gemma":[0.9706941,0.000176052,0.0003190171,0.01992554,0.005216588,0.000007801644,0.000006429476,0.00002397422,0.00363048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5904476,"threshold_uncertainty_score":0.993565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01883995583608813,"score_gpt":0.321763389145218,"score_spread":0.3029234333091299,"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."}}