{"id":"W6961229275","doi":"10.14288/cl.vi249.197027","title":"A \"GLAM\" Future for Canadian Comics","year":2022,"lang":"en","type":"article","venue":"Open Collections","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Comic strip; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005216484,0.001365458,0.0008918968,0.004293689,0.03609682,0.02666072,0.003492553,0.008259027,0.1731356],"category_scores_gemma":[0.01636891,0.0006518579,0.001019148,0.007847587,0.01258319,0.01546974,0.009325004,0.01016153,0.03620045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07417171,"about_ca_system_score_gemma":0.1669973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9166083,"about_ca_topic_score_gemma":0.9623291,"domain_scores_codex":[0.9925838,0.0009087085,0.0001861943,0.0004874121,0.003522306,0.002311639],"domain_scores_gemma":[0.9771614,0.001217686,0.0003618441,0.001153274,0.01285484,0.007250972],"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":[0.000007235917,0.000004712328,0.00008074192,0.00002746608,0.000001953316,0.00003252269,0.0006287897,0.00001947649,0.00003937371,0.02694958,0.9628147,0.009393556],"study_design_scores_gemma":[0.000001429134,0.000001355176,0.0001262419,0.00006457818,0.000001430896,0.00001517155,0.001351489,0.00001155952,0.00002193101,0.001725098,0.9966684,0.00001126689],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001416246,0.02484078,0.001603701,0.5971456,0.04759631,0.00006410725,0.00195606,0.0007906242,0.3245866],"genre_scores_gemma":[0.04521896,0.02200798,0.005973435,0.1199144,0.008710274,0.000104678,0.001787483,0.001486282,0.7947965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1731356,"threshold_uncertainty_score":0.5791963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04407635547696155,"score_gpt":0.212377519471023,"score_spread":0.1683011639940615,"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."}}