{"id":"W4210400378","doi":"10.4000/annuaire-cdf.15748","title":"Équations aux dérivées partielles et applications","year":2020,"lang":"fr","type":"article","venue":"L’annuaire du Collège de France","topic":"Mathematics and Applications","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Emergent BioSolutions (Canada)","funders":"","keywords":"Humanities; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004240578,0.0004059974,0.0005232831,0.0000604348,0.000600021,0.0002161133,0.000661752,0.0002765487,0.0007304787],"category_scores_gemma":[0.0006123239,0.0004633106,0.0002552814,0.000976979,0.0002665579,0.0002498914,0.0001646449,0.0004479041,0.00149003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007117337,"about_ca_system_score_gemma":0.0004093559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003900002,"about_ca_topic_score_gemma":0.0001037523,"domain_scores_codex":[0.9974809,0.000155772,0.0008104428,0.000571696,0.0003831203,0.0005980676],"domain_scores_gemma":[0.9971535,0.0008029438,0.0003982658,0.0008201593,0.0003602126,0.0004649812],"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":[0.000006340792,0.0006463808,0.000850689,0.0007940788,0.00009238772,0.000007671559,0.006063511,0.000495854,0.0002185329,0.7168561,0.2705227,0.003445848],"study_design_scores_gemma":[0.0003834366,0.00005325957,0.0002540835,0.0001715333,0.000170437,0.00001712893,0.0006535935,0.04928366,0.0004636958,0.04780265,0.9003023,0.000444253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006911342,0.004345381,0.6003517,0.3586445,0.0002378085,0.002473957,0.001020298,0.0004427962,0.0255723],"genre_scores_gemma":[0.6830285,0.003127603,0.2069076,0.02210856,0.003151018,0.0081289,0.0002301625,0.0003955984,0.0729221],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6761171,"threshold_uncertainty_score":0.9997818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305612817204223,"score_gpt":0.3069424675461952,"score_spread":0.263886339374153,"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."}}