{"id":"W2968831549","doi":"10.29173/cais751","title":"“I’m a Marvel Girl”: Exploration of the Selection Practices of Comic Book Readers","year":2013,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Comics; Art; Selection (genetic algorithm); Art history; Visual arts; Humanities; Literature; Computer science; Artificial intelligence","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":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0005996125,0.000302403,0.0005825284,0.0001878693,0.0003023431,0.001424366,0.001078758,0.000180428,0.0002712781],"category_scores_gemma":[0.006094968,0.0002114435,0.0003110914,0.0002854766,0.001816599,0.015209,0.0003248042,0.0003883881,0.000002503416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004634909,"about_ca_system_score_gemma":0.0003215171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233645,"about_ca_topic_score_gemma":0.0003479639,"domain_scores_codex":[0.9979879,0.00008314905,0.0008604855,0.0002770011,0.0004669705,0.0003244505],"domain_scores_gemma":[0.9607768,0.0002770068,0.003716232,0.00020405,0.03495678,0.0000691015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003908635,0.0007277553,0.05002964,0.00230938,0.0006215885,1.725093e-7,0.4146746,0.00001335337,0.06140748,0.436526,0.02909272,0.00420639],"study_design_scores_gemma":[0.002113502,0.002075557,0.1097262,0.003522634,0.0009938678,0.0000334038,0.2004528,0.002186192,0.178295,0.07120824,0.4283569,0.001035716],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676535,0.001632203,0.000009680678,0.01749319,0.0004780564,0.0008270552,0.0002613458,0.00001475536,0.0116302],"genre_scores_gemma":[0.9904159,0.001053832,0.0001011278,0.0001506554,0.0001737268,0.00004535461,0.000003714822,0.00002491328,0.00803075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992642,"threshold_uncertainty_score":0.9996123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04778256794164638,"score_gpt":0.2576669056747543,"score_spread":0.2098843377331079,"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."}}