{"id":"W2613128312","doi":"","title":"Cheryl McWatch: “If you do it right, you’ll feel it in your heart”","year":2014,"lang":"en","type":"article","venue":"Canadian Family Physician","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University","funders":"","keywords":"Computer science; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[],"category_scores_codex":[0.0002846013,0.0004334699,0.0006320415,0.0006413457,0.0006334636,0.0002416003,0.0004840243,0.0001249222,0.00063836],"category_scores_gemma":[0.00002496021,0.0004418606,0.0002906283,0.0002847235,0.000423599,0.0004273495,0.00002704595,0.0004164613,0.002085198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008322508,"about_ca_system_score_gemma":0.0003738049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1080895,"about_ca_topic_score_gemma":0.5141146,"domain_scores_codex":[0.9974788,0.0001719213,0.000458432,0.0006420558,0.0003388248,0.0009099614],"domain_scores_gemma":[0.998339,0.00004365566,0.0001448525,0.0007077929,0.0001874555,0.0005772323],"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":[0.00001877267,0.0001408752,0.0003710777,0.00004427591,0.0001346923,0.00005812674,0.03251532,0.0000591173,0.0006242582,0.02963543,0.9296449,0.006753091],"study_design_scores_gemma":[0.0003933986,0.00008726527,0.001319106,0.00006576655,0.00006018913,2.66712e-7,0.01661735,0.0002007157,0.00005037012,0.001459815,0.9791662,0.000579604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07827526,0.0007451925,0.000005520473,0.007004921,0.001099788,0.0003286304,0.0002030232,0.00007559397,0.9122621],"genre_scores_gemma":[0.8835638,0.00001145649,0.00002591868,0.07622205,0.001992519,0.00003932888,0.0000798006,0.00008371445,0.03798145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8742806,"threshold_uncertainty_score":0.9998033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759506975005798,"score_gpt":0.2304497608666254,"score_spread":0.1928546911165674,"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."}}