{"id":"W4230862856","doi":"10.4000/ocim.4309","title":"mai-juin 2021","year":2021,"lang":"fr","type":"paratext","venue":"La Lettre de l’OCIM","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007350614,0.0008627192,0.0004312317,0.0009575156,0.00303075,0.004903099,0.0007675092,0.002032366,0.5357969],"category_scores_gemma":[0.001685737,0.0002745371,0.0003616726,0.0007942845,0.0006296485,0.002274744,0.003342367,0.001884198,0.368782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001837405,"about_ca_system_score_gemma":0.002210771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132924,"about_ca_topic_score_gemma":0.0327955,"domain_scores_codex":[0.999385,0.00006874785,0.00002534346,0.0001148257,0.0002427897,0.0001632451],"domain_scores_gemma":[0.9993626,0.00003672966,0.00003208179,0.00004551391,0.0002334827,0.0002896178],"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":[0.0001446925,0.0000496705,0.001184676,0.0001557556,0.000006487871,0.00028496,0.0003816508,0.00007331099,0.0005266884,0.01201021,0.8994493,0.08573256],"study_design_scores_gemma":[0.000003461666,0.00000907168,0.0009920532,0.00005174572,6.660065e-7,0.00003628765,0.000140439,0.00001700739,0.00006154434,0.0003689513,0.9983158,0.000002937177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003464046,0.002713855,0.0005614683,0.007822192,0.01273047,0.0001378521,0.00653703,0.0005935306,0.9654395],"genre_scores_gemma":[0.005864177,0.0008369157,0.0002682676,0.0009405034,0.0004738446,0.00005129424,0.002155243,0.0001636422,0.9892461],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4642031,"threshold_uncertainty_score":0.6621294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307408385609666,"score_gpt":0.3028824869639101,"score_spread":0.1721416484029435,"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."}}