{"id":"W4390932513","doi":"","title":"L'analyse dans le sol à Météo-France. Partie 1 : Évaluation et perspectives à l'échelle locale","year":2007,"lang":"fr","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Environment and Climate Change Canada","funders":"","keywords":"Scale (ratio); Environmental science; Forestry; Geography; Geology; Cartography","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":[0.0007601561,0.0009681166,0.000784241,0.001264084,0.001646442,0.002146745,0.0005411413,0.0008001026,0.005229169],"category_scores_gemma":[0.001416133,0.0002900815,0.00108585,0.001359035,0.0007301436,0.0008349633,0.0006575552,0.00078062,0.001357718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342393,"about_ca_system_score_gemma":0.001627052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1689628,"about_ca_topic_score_gemma":0.1150839,"domain_scores_codex":[0.9993518,0.0001174041,0.00002960062,0.0001195442,0.0003056791,0.00007601723],"domain_scores_gemma":[0.9994944,0.0001622061,0.00003636572,0.00005339092,0.0002168943,0.00003677628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001813219,0.0006685735,0.08032213,0.001518095,0.0008863417,0.003941393,0.0117745,0.3288795,0.2481192,0.02224596,0.03058578,0.2692453],"study_design_scores_gemma":[0.0004934886,0.0006332311,0.1644775,0.0003676269,0.0004791148,0.001322584,0.008862115,0.4045021,0.2021795,0.009358472,0.2070167,0.0003076108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8489455,0.001510645,0.07589944,0.001765441,0.0005031223,0.0003413345,0.006297946,0.004788214,0.05994831],"genre_scores_gemma":[0.9215842,0.0007473475,0.03746537,0.0002551058,0.00009662318,0.000233602,0.003110914,0.001512372,0.03499443],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1689628,"threshold_uncertainty_score":0.3359586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0347406978754766,"score_gpt":0.2678070612528533,"score_spread":0.2330663633773767,"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."}}