{"id":"W2618557408","doi":"","title":"Nessian : le goût de l’abstraction / Nessian, Canada [Québec] 2002, 15 minutes","year":2002,"lang":"fr","type":"article","venue":"Séquences : la revue de cinéma","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0002424255,0.0004156202,0.0003867018,0.00008218894,0.000406599,0.001287615,0.0008155526,0.0002744654,0.0006220734],"category_scores_gemma":[0.0002305176,0.0003779817,0.0001523482,0.0006567006,0.0002683576,0.003274701,0.000132158,0.000449228,0.000166766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005740182,"about_ca_system_score_gemma":0.001589325,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9494668,"about_ca_topic_score_gemma":0.9682324,"domain_scores_codex":[0.9973105,0.0001854195,0.0004957709,0.0006304831,0.0003379385,0.001039946],"domain_scores_gemma":[0.998,0.0002725064,0.0003012877,0.0005530253,0.0001745779,0.0006986339],"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":[0.00001431709,0.0003550435,0.001958427,0.0003645724,0.00008236837,0.003617058,0.005968834,0.00209771,0.001589439,0.04559753,0.819768,0.1185868],"study_design_scores_gemma":[0.000352348,0.0001181364,0.02289466,0.0005743927,0.00004014128,0.003239609,0.0005206303,0.02145512,0.002081965,0.002090091,0.945931,0.0007018921],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.02499783,0.04016426,0.002262364,0.5739975,0.002795081,0.0003160455,0.00005172786,0.0001808164,0.3552344],"genre_scores_gemma":[0.6966016,0.0004191475,0.001734734,0.001651828,0.0007470874,0.00001619055,0.000005864598,0.00002548799,0.2987981],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6716038,"threshold_uncertainty_score":0.9998672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0726254985459984,"score_gpt":0.2476197108172326,"score_spread":0.1749942122712342,"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."}}