{"id":"W7125106194","doi":"10.7202/1122559ar","title":"« AU FUR ET À MESURE » : DU LABYRINTHE AU CHEMIN","year":2025,"lang":"fr","type":"article","venue":"Voix et Images","topic":"Literary Analysis and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Statistical analysis; Genetic inheritance; Order (exchange)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005077781,0.0003252869,0.0004128899,0.00006852286,0.0008986323,0.0005194481,0.0002457901,0.00008619836,0.002906908],"category_scores_gemma":[0.00009040545,0.0002360519,0.0003171237,0.0001237846,0.0004759946,0.0005674768,0.0002384084,0.0002859562,0.0002876244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110526,"about_ca_system_score_gemma":0.000121514,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006860304,"about_ca_topic_score_gemma":0.004329945,"domain_scores_codex":[0.998507,0.0001895402,0.0003503568,0.0003529071,0.0001801132,0.0004200633],"domain_scores_gemma":[0.9991953,0.0001809078,0.0001066644,0.0002631592,0.0001911455,0.00006283339],"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":[0.00002090843,0.0002402127,0.002506488,0.0003086811,0.0008950299,0.00002737113,0.07196844,0.00001013761,0.0002046493,0.499825,0.4150642,0.008928852],"study_design_scores_gemma":[0.0002674018,0.00003906261,0.00842159,0.0002998518,0.0003363202,0.000002829437,0.009359374,0.00001697362,0.001278745,0.002703171,0.9769888,0.0002858968],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0638404,0.02953198,0.00002474056,0.2421319,0.001728311,0.0001812707,0.001405616,0.00009907754,0.6610567],"genre_scores_gemma":[0.4121897,0.002326152,0.00002542928,0.002120178,0.0008493625,0.00001999069,0.00004374463,0.00001215494,0.5824133],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5619246,"threshold_uncertainty_score":0.9997531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364068666551546,"score_gpt":0.2611567121480607,"score_spread":0.2475160254825452,"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."}}