{"id":"W4381707990","doi":"","title":"Indice de Qualité Ecologique (IQE) du Golf de Vidauban","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage","funders":"","keywords":"Environmental science; Forestry; Geography","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":[0.001788021,0.0004499978,0.0004382772,0.002663038,0.0005617533,0.001841941,0.0005146349,0.0003798105,0.002568585],"category_scores_gemma":[0.002951522,0.0002213588,0.000567493,0.003327763,0.0006745929,0.0006062436,0.0008236581,0.00046937,0.0005262403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002247658,"about_ca_system_score_gemma":0.001074826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1092897,"about_ca_topic_score_gemma":0.1892086,"domain_scores_codex":[0.9987149,0.0002420037,0.00006387655,0.0002956699,0.0005553603,0.0001280325],"domain_scores_gemma":[0.9979185,0.0006266538,0.0003472702,0.0001677298,0.0008355604,0.0001041989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001177115,0.00004120577,0.9529564,0.0002587517,0.0002267031,0.0001218799,0.002775281,0.002471185,0.00382396,0.0005561752,0.0009855095,0.0356653],"study_design_scores_gemma":[0.000002717373,0.00003279289,0.9913701,0.00005433243,0.00002382839,0.00005353918,0.001408787,0.0005825296,0.0006508268,0.0001093708,0.00569789,0.00001324973],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820395,0.001302229,0.002220024,0.0001231484,0.00002530735,0.00002947054,0.005459615,0.00006346838,0.008737251],"genre_scores_gemma":[0.9878145,0.0004222602,0.003298291,0.00003165161,0.000007372675,0.00007844749,0.005469531,0.00002415121,0.002853674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1092897,"threshold_uncertainty_score":0.2173071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01620013366487654,"score_gpt":0.2088518412166198,"score_spread":0.1926517075517432,"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."}}