{"id":"W2000453273","doi":"10.7202/030587ar","title":"Microlecture et macro-enjeux de la narration graphique. L’arpentage de Jan Baetens","year":2005,"lang":"fr","type":"article","venue":"Protée","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.001931523,0.0004615544,0.0002297572,0.001817939,0.00202722,0.006675119,0.0004616184,0.001037993,0.005978216],"category_scores_gemma":[0.009572491,0.0003963953,0.0004089429,0.001585528,0.007710773,0.009246898,0.002524574,0.002376314,0.0007471175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001885604,"about_ca_system_score_gemma":0.0008289354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004330708,"about_ca_topic_score_gemma":0.009425029,"domain_scores_codex":[0.9982951,0.001152065,0.00005502361,0.0002550033,0.0001976253,0.00004515065],"domain_scores_gemma":[0.9947949,0.004059547,0.0003076487,0.0003686534,0.0003316558,0.0001376311],"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":[0.00006107873,0.00001413341,0.001347327,0.0002705966,0.0000234485,0.0001649134,0.0453649,0.0008724809,0.002410245,0.9057795,0.009761784,0.03392959],"study_design_scores_gemma":[0.00001152373,0.00003916481,0.005207851,0.0004010805,0.00002446747,0.0005444378,0.02694707,0.005343914,0.003859772,0.5449452,0.4126049,0.00007055356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1351077,0.04205959,0.4731009,0.0652184,0.002754638,0.0001788819,0.001065671,0.0007549844,0.2797593],"genre_scores_gemma":[0.8166874,0.01420336,0.0964147,0.00207677,0.001112084,0.0002324725,0.0004977793,0.0007596005,0.06801584],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006675119,"threshold_uncertainty_score":0.01999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01811797710757939,"score_gpt":0.310148223415468,"score_spread":0.2920302463078886,"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."}}