{"id":"W2801413986","doi":"10.4000/contextes.6445","title":"Du lecteur automate aux émotions universelles","year":2018,"lang":"fr","type":"article","venue":"Contextes","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Art; Philosophy","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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000868006,0.000242091,0.0002367234,0.0000553296,0.001838598,0.0004043088,0.000166378,0.00009112504,0.007220344],"category_scores_gemma":[0.00005992103,0.0001985382,0.0001430763,0.00007006391,0.001522081,0.0003669086,0.00007842536,0.0001418944,0.002210469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000303691,"about_ca_system_score_gemma":0.00005617678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004488593,"about_ca_topic_score_gemma":0.002898413,"domain_scores_codex":[0.999,0.00008719633,0.0001999006,0.0002550311,0.0001100752,0.000347788],"domain_scores_gemma":[0.9990086,0.00007855846,0.0000736907,0.0001935171,0.000569277,0.00007637957],"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":[0.000007308973,0.00006517882,0.00006651884,0.00002924964,0.0001371818,0.00001293263,0.05095975,9.537083e-8,0.00004291461,0.6341424,0.3110356,0.003500839],"study_design_scores_gemma":[0.0002999449,0.0002227562,0.0005450131,0.0001984255,0.0001329771,0.000009787771,0.01114434,0.00004314437,0.000122469,0.004442167,0.9825864,0.0002525262],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02020465,0.07942199,0.00005710004,0.03211351,0.008083868,0.0002402592,0.0003144167,0.0003285939,0.8592356],"genre_scores_gemma":[0.4800716,0.000740569,0.00002868058,0.0009182558,0.005435997,0.000005626468,0.00001616146,0.00001839569,0.5127647],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6715508,"threshold_uncertainty_score":0.9994609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01966261106792863,"score_gpt":0.2353353510234566,"score_spread":0.215672739955528,"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."}}