{"id":"W4308878349","doi":"10.20870/revue-set.2022.41.7222","title":"Gestion des lagunes de la Réserve naturelle de la Baie de Somme","year":2022,"lang":"fr","type":"article","venue":"Sciences Eaux & Territoires","topic":"Historical and Environmental Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Baie-Comeau; AMT Die Casting (Canada)","funders":"","keywords":"Humanities; Geography; Forestry; Art","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.003010548,0.0002051187,0.0002084042,0.00007494891,0.006235674,0.0001838929,0.0007491113,0.0001877798,0.0008894372],"category_scores_gemma":[0.0003300279,0.0001986117,0.0001466192,0.0007250157,0.008388676,0.0003337178,0.0004292793,0.0005440157,0.00003219665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002672726,"about_ca_system_score_gemma":0.000421969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08671148,"about_ca_topic_score_gemma":0.005534549,"domain_scores_codex":[0.9958758,0.00188337,0.0002122922,0.0004271153,0.0007193283,0.0008820621],"domain_scores_gemma":[0.9987017,0.000833572,0.00009787801,0.0001168452,0.0000112505,0.0002387814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004923704,0.00154945,0.4293423,0.0001317116,0.00008780986,0.0002519655,0.1631769,0.01107337,0.004517228,0.0659994,0.1357886,0.188032],"study_design_scores_gemma":[0.0001690107,0.0002359816,0.06705249,0.00005868993,0.00003800808,0.00003864663,0.01197344,0.0007810839,0.0002487928,0.06483696,0.8542571,0.0003098204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8328405,0.04234419,0.0001153677,0.02576852,0.001603368,0.0001621087,0.00004471581,0.0001143123,0.09700693],"genre_scores_gemma":[0.9737408,0.003048399,0.002324784,0.0006740537,0.0004855797,0.00006565451,0.00000198571,0.00001408503,0.01964463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7184685,"threshold_uncertainty_score":0.9950581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126310526740694,"score_gpt":0.2791364396214146,"score_spread":0.2578733343540077,"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."}}