{"id":"W4404680771","doi":"","title":"Time-penalised tree : un algorithme temporel interprétable appliqué aux risques climatiques","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Tree (set theory); Algorithm; Artificial intelligence; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004878338,0.001106373,0.001733639,0.001263429,0.0009010732,0.002322674,0.003681156,0.003481824,0.00764984],"category_scores_gemma":[0.01616388,0.001171466,0.001498855,0.001574617,0.00104053,0.002475626,0.002018648,0.004135889,0.002516535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013458,"about_ca_system_score_gemma":0.001962069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006904286,"about_ca_topic_score_gemma":0.00842935,"domain_scores_codex":[0.9986475,0.0004875468,0.000100818,0.0004188147,0.0002365687,0.000108798],"domain_scores_gemma":[0.9918162,0.006145266,0.0002596513,0.0005803804,0.0009878923,0.0002106309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006252574,0.0001293546,0.0009624367,0.0002662632,0.0001820709,0.0001946618,0.0002197564,0.5505796,0.003779771,0.03248901,0.01668695,0.3938849],"study_design_scores_gemma":[0.00003644129,0.00001892394,0.00009188524,0.00002472671,0.00001798212,0.0000359939,0.000009538962,0.9827456,0.0005470136,0.01472024,0.001741802,0.000009910308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003366299,0.0001921862,0.9940197,0.0002006948,0.00009527755,0.00002727229,0.0001535093,0.001564196,0.0003808748],"genre_scores_gemma":[0.07507586,0.0002542439,0.9181291,0.0002716368,0.0001686062,0.000209121,0.0008764091,0.001532345,0.003482647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00764984,"threshold_uncertainty_score":0.02579945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762579833200074,"score_gpt":0.2412087337458063,"score_spread":0.2135829354138055,"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."}}