{"id":"W4403010751","doi":"10.7202/1113763ar","title":"Jean-Philippe Pleau, Rue Duplessis. Ma petite noirceur, Montréal, Lux Éditeur, 2024, 328 p.","year":2024,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Art; Humanities","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008567705,0.002056726,0.001432202,0.002387541,0.002135058,0.003585845,0.001415077,0.001452088,0.3965482],"category_scores_gemma":[0.002199463,0.0008281869,0.0005579303,0.004151389,0.0009492799,0.002248651,0.001133082,0.001935941,0.2461682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00794163,"about_ca_system_score_gemma":0.005962677,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.449571,"about_ca_topic_score_gemma":0.6213971,"domain_scores_codex":[0.9992571,0.00007367201,0.00002742129,0.0001909874,0.0003795532,0.00007129853],"domain_scores_gemma":[0.9985073,0.0002553369,0.0000855079,0.00005963643,0.000874029,0.000218214],"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":[0.00002947744,0.000008171854,0.0001741057,0.0003206538,0.000008022521,0.00007494114,0.0001151156,0.000103078,0.0004367424,0.001423618,0.933156,0.06415007],"study_design_scores_gemma":[0.00000284704,0.00000390001,0.0006906489,0.00008715603,0.000002803334,0.0000707543,0.00006459749,0.00002458206,0.00008518734,0.00009277543,0.9988689,0.000005907598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001230542,0.5558754,0.003909028,0.03150926,0.0282952,0.0001485857,0.007788794,0.001725106,0.3695182],"genre_scores_gemma":[0.003399298,0.07091793,0.000824888,0.001281202,0.001663595,0.00005561634,0.0009777059,0.0005745443,0.9203051],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.550429,"threshold_uncertainty_score":0.8939084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2619886301269561,"score_gpt":0.3530658243283139,"score_spread":0.09107719420135785,"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."}}