{"id":"W3021289570","doi":"10.21083/nrsc.vi12.4842","title":"Les médiamorphoses de Chloé Delaume","year":2020,"lang":"fr","type":"article","venue":"Nouvelle Revue Synergies Canada","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006835558,0.0003867499,0.0004151686,0.00003109439,0.0002995402,0.0008375829,0.0007723756,0.0001654654,0.0004523887],"category_scores_gemma":[0.0002934279,0.0003545987,0.0001488031,0.0005798237,0.0001458674,0.001181085,0.0004306007,0.000321899,0.00007078102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005296438,"about_ca_system_score_gemma":0.002849119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9296377,"about_ca_topic_score_gemma":0.7752309,"domain_scores_codex":[0.9977187,0.00007325067,0.0004026205,0.0005745335,0.0003628886,0.0008680219],"domain_scores_gemma":[0.9981071,0.0001740958,0.0001558848,0.0004221477,0.0001701683,0.0009705394],"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":[0.00002364397,0.00006933631,0.0002308988,0.0004850218,0.0001579136,0.00307706,0.007914823,0.006101136,0.0008153189,0.1200446,0.777545,0.08353525],"study_design_scores_gemma":[0.0002453966,0.00015229,0.0008103324,0.0001743539,0.00003622282,0.0003304025,0.001251572,0.01544083,0.00260637,0.0004789081,0.9778605,0.000612859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1622711,0.09926543,0.01111395,0.3745176,0.008560569,0.0007702998,0.0005652813,0.0005316579,0.3424042],"genre_scores_gemma":[0.8863129,0.0008308974,0.003163393,0.009448753,0.001180458,0.000009868701,0.00002149094,0.00004490244,0.09898736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7240418,"threshold_uncertainty_score":0.9998906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1940257804128916,"score_gpt":0.2605207105624517,"score_spread":0.06649493014956004,"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."}}