{"id":"W4221138699","doi":"","title":"A Conversation with Comics Not Otherwise Specified (CNOS) (Interview)","year":2022,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Conversation; Comics; Psychology; Computer science; Communication; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008162827,0.0002436689,0.0005197183,0.000597064,0.0005921525,0.001109192,0.001516923,0.00002644109,0.07439382],"category_scores_gemma":[0.00002101364,0.000207941,0.0001588687,0.0002702208,0.0002615924,0.0008379985,0.0006010361,0.0003532307,0.000009240971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007304466,"about_ca_system_score_gemma":0.00007593169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001523565,"about_ca_topic_score_gemma":0.001679297,"domain_scores_codex":[0.9981195,0.0002839849,0.000524718,0.0003118561,0.0005188479,0.0002410802],"domain_scores_gemma":[0.9984883,0.000149822,0.0007230055,0.0003585308,0.0001632507,0.0001170888],"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":[0.003168181,0.001560273,0.08098307,0.0002487196,0.00155244,0.0001434823,0.06884891,0.0004048948,0.01315941,0.1258822,0.6880263,0.0160221],"study_design_scores_gemma":[0.00239383,0.0001135699,0.0428863,0.0002440963,0.0001453436,0.00002152394,0.01431488,0.000357089,0.002587859,0.0150134,0.9209919,0.000930224],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054566,0.008036183,0.0002313537,0.00187141,0.00141943,0.001117158,0.0004185456,0.0001135304,0.08133578],"genre_scores_gemma":[0.9913071,0.0018547,0.00004145574,0.0008564313,0.0002308206,0.00006301,0.00002142449,0.00007429558,0.005550756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2329656,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3769139684445471,"score_gpt":0.492217024644217,"score_spread":0.1153030561996699,"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."}}