{"id":"W7055590234","doi":"","title":"Détection de points chauds de déforestation à Bornéo de 2000 à 2009 à partir d'images MODIS","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Western europe; Biological evolution","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002709388,0.0004908263,0.00032513,0.00177531,0.0006440802,0.001227305,0.0004142713,0.0005245691,0.005505253],"category_scores_gemma":[0.0005325192,0.0002669583,0.0006614922,0.001818956,0.0003153458,0.0008041345,0.0005538136,0.0008994571,0.001817555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261271,"about_ca_system_score_gemma":0.001314565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08312164,"about_ca_topic_score_gemma":0.2017818,"domain_scores_codex":[0.9996811,0.00001011086,0.00001659688,0.00008242614,0.00016056,0.00004922035],"domain_scores_gemma":[0.9995598,0.00003897569,0.00007425532,0.00003848555,0.0002361833,0.00005228487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00140034,0.0002964556,0.3881409,0.002006942,0.0004933923,0.001582457,0.004059639,0.02831453,0.1146391,0.005868341,0.0656679,0.38753],"study_design_scores_gemma":[0.00004075465,0.00007047509,0.670461,0.0003042035,0.0001012745,0.0003564293,0.001558995,0.01036987,0.03093105,0.0005840579,0.2851358,0.00008613388],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7501988,0.003607923,0.01957101,0.001004021,0.0009767808,0.0002254427,0.08169062,0.0024488,0.1402767],"genre_scores_gemma":[0.8010607,0.003494295,0.0610422,0.0002371444,0.0001684024,0.000207883,0.07857016,0.0008881586,0.05433105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08312164,"threshold_uncertainty_score":0.1652756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003393713830515014,"score_gpt":0.1656105182550018,"score_spread":0.1622168044244868,"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."}}