{"id":"W2613538282","doi":"10.4267/2042/62171","title":"Observation de la végétation depuis l'espace","year":2017,"lang":"fr","type":"article","venue":"La Météorologie","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Forestry; Humanities; Physics; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002580244,0.0003704606,0.0002657426,0.001089155,0.000293398,0.000886929,0.0002888446,0.0005097448,0.004398244],"category_scores_gemma":[0.0003463254,0.0002051715,0.0003290526,0.001302222,0.0001877174,0.0006594716,0.0003476415,0.0003922053,0.00215989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234802,"about_ca_system_score_gemma":0.0002492867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445987,"about_ca_topic_score_gemma":0.02126687,"domain_scores_codex":[0.9998426,0.000008753355,0.000005064952,0.00005828043,0.00006815173,0.00001708735],"domain_scores_gemma":[0.9997477,0.00006296357,0.00002164577,0.00002551045,0.0001224363,0.00001974365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003420713,0.00006364231,0.1297819,0.0008975479,0.0002645551,0.0006199965,0.001231273,0.007248984,0.6213492,0.000818143,0.004201671,0.233181],"study_design_scores_gemma":[0.00003254686,0.0001621705,0.8708473,0.0001690006,0.0001233138,0.0005933196,0.0006983976,0.01550444,0.04672689,0.0005068301,0.0645829,0.0000529911],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8718003,0.004775818,0.04874882,0.0003055238,0.0001481133,0.00009493085,0.01929238,0.001605171,0.05322897],"genre_scores_gemma":[0.9340029,0.004174475,0.02989013,0.0001908623,0.00007339529,0.00007361435,0.01090335,0.0002439978,0.02044739],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01445987,"threshold_uncertainty_score":0.02875143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03225728791593366,"score_gpt":0.3086492758517654,"score_spread":0.2763919879358318,"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."}}