{"id":"W4404075785","doi":"10.4000/12mlb","title":"Étude de la corrélation entre les précipitations, le débit fluvial et les paramètres morphométriques dans le bassin versant d'El Bared, Liban Nord à l’aide du SIG","year":2024,"lang":"fr","type":"article","venue":"VertigO","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Geology; Geography; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005099591,0.0003375185,0.0002715235,0.0001490056,0.000530248,0.0005913614,0.0003205644,0.0002495924,0.0009910753],"category_scores_gemma":[0.00007524221,0.0003265125,0.0002673009,0.0004008698,0.0005517596,0.0009630345,0.0001686553,0.0003187743,0.0003609802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268065,"about_ca_system_score_gemma":0.0001516429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04110368,"about_ca_topic_score_gemma":0.009560408,"domain_scores_codex":[0.9973412,0.0007372584,0.0004104567,0.0005911835,0.0003971203,0.0005228259],"domain_scores_gemma":[0.9991002,0.0003430444,0.00006489556,0.0002677786,0.0000188215,0.0002052346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009884949,0.0006611954,0.7883238,0.0002247862,0.0003585199,0.0003405875,0.0279065,0.0345979,0.0845708,0.01582501,0.01848259,0.02860945],"study_design_scores_gemma":[0.001311357,0.0002776528,0.5706805,0.0006551463,0.0007012154,0.00009172984,0.007956487,0.1645877,0.07520306,0.00766201,0.1696296,0.001243519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916416,0.002973802,0.06906456,0.007382209,0.0003803952,0.0002046314,0.0001103746,0.000195692,0.00327227],"genre_scores_gemma":[0.9899209,0.0009742549,0.003408554,0.0001446576,0.0001914386,0.00003310656,0.0001578644,0.00005281867,0.005116408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176433,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087206115252562,"score_gpt":0.2349131838673112,"score_spread":0.2240411227147856,"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."}}