{"id":"W4230486383","doi":"10.5589/cjrs3204fi","title":"Full Issue in PDF / Numéro complet enform PDF","year":2006,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Cartography","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001348472,0.001740203,0.001715587,0.00539877,0.002187924,0.00973902,0.001909245,0.001827424,0.8262362],"category_scores_gemma":[0.009655323,0.001133734,0.001200013,0.004752518,0.0006973635,0.004118233,0.002151011,0.002370597,0.7366329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254617,"about_ca_system_score_gemma":0.003093588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009197956,"about_ca_topic_score_gemma":0.01117247,"domain_scores_codex":[0.9978682,0.0001618491,0.0001423308,0.0002044037,0.001434075,0.0001890441],"domain_scores_gemma":[0.991971,0.001135036,0.0003238773,0.001297257,0.004585998,0.0006866704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003399008,0.00005155036,0.00008504852,0.0001204334,0.000003311136,0.00001921441,0.000007156897,0.00009685689,0.0001615858,0.001139546,0.963186,0.03509533],"study_design_scores_gemma":[0.00002406725,0.00001760573,0.0004808556,0.0001003644,0.000006130339,0.0000455302,0.00001642362,0.0002480852,0.0004722564,0.001419737,0.9971551,0.00001384599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000801263,0.002029783,0.004868736,0.004022966,0.03906795,0.0004807699,0.04296378,0.008413705,0.8973511],"genre_scores_gemma":[0.002897432,0.00142171,0.002453167,0.0007158446,0.004221349,0.0001668459,0.01455383,0.004329151,0.9692406],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1737638,"threshold_uncertainty_score":0.247853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007855461370530286,"score_gpt":0.2000740318003573,"score_spread":0.192218570429827,"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."}}