{"id":"W2051229389","doi":"10.1080/01431160050144974","title":"Évaluation de la reprÉsentativitÉ spatiale thermique des stations mÉtÉorologiques du rÉseau d'Andalousie","year":2000,"lang":"fr","type":"article","venue":"International Journal of Remote Sensing","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Geography; Geology","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":[0.001888727,0.0006044642,0.0004710336,0.002097288,0.0002837327,0.001378278,0.000414704,0.0004511624,0.0008400152],"category_scores_gemma":[0.003965203,0.0002496911,0.0006577671,0.001968305,0.0002458969,0.0006322616,0.0006362658,0.0002518107,0.0003586819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921258,"about_ca_system_score_gemma":0.0003403549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01175695,"about_ca_topic_score_gemma":0.01216243,"domain_scores_codex":[0.9988582,0.0003522935,0.00005605811,0.0002685818,0.0003558263,0.0001090247],"domain_scores_gemma":[0.9983172,0.000833038,0.0002205155,0.0001939815,0.0003929641,0.00004222265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001239109,0.00009852032,0.4253709,0.0004192865,0.0006402829,0.0002069661,0.001640088,0.2143884,0.05661119,0.002094123,0.0004433493,0.2968478],"study_design_scores_gemma":[0.00006962504,0.0004515973,0.6464769,0.00008755903,0.0004036092,0.0004498727,0.001503628,0.2907685,0.04618764,0.001379957,0.01206823,0.0001528824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9045954,0.000634188,0.08904715,0.00005329787,0.00001818747,0.00004277645,0.001106526,0.0003372095,0.004165323],"genre_scores_gemma":[0.9698262,0.0002834248,0.02787405,0.00000515796,0.00001712478,0.00005328783,0.0009216594,0.00003470337,0.0009844312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01175695,"threshold_uncertainty_score":0.02337706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652925589957701,"score_gpt":0.294087206180317,"score_spread":0.25755795028074,"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."}}