{"id":"W2083987512","doi":"10.1503/cmaj.1050014","title":"Tintin in CMAJ","year":2005,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"HERO; Computer science; Medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029676,0.0004411144,0.0004552387,0.0005477525,0.002431623,0.002182572,0.00101898,0.008466589,0.1230836],"category_scores_gemma":[0.008093423,0.000242879,0.000356824,0.0003710477,0.0008598083,0.00201241,0.001109541,0.01060078,0.04491836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001501038,"about_ca_system_score_gemma":0.002121528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004246873,"about_ca_topic_score_gemma":0.01349853,"domain_scores_codex":[0.9993656,0.0001181227,0.00005048123,0.0001083765,0.000240911,0.0001164861],"domain_scores_gemma":[0.9976489,0.0006621382,0.0001064654,0.00009903702,0.0006310474,0.0008524716],"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":[0.000007058985,0.00000652464,0.00008886023,0.00001649129,8.453919e-7,0.0001901782,0.00001764653,0.000003202822,0.00001537275,0.0007926245,0.9931549,0.005706233],"study_design_scores_gemma":[0.000005737165,0.000006511621,0.0002343875,0.00007036448,0.000001232903,0.0003567111,0.00007051657,0.00001316755,0.00001465903,0.0006689102,0.9985544,0.000003406684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004265568,0.00886738,0.0001407263,0.7378439,0.1649074,0.00002911147,0.0001580045,0.0001506028,0.08747631],"genre_scores_gemma":[0.006898767,0.00641916,0.0002702435,0.6479548,0.08353833,0.00004895414,0.0001689109,0.0001105892,0.2545903],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1230836,"threshold_uncertainty_score":0.4117556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094985337997128,"score_gpt":0.2022757292842134,"score_spread":0.1913258759042421,"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."}}