{"id":"W4205928147","doi":"10.5589/cjrsauthin34","title":"Author Index / Index des auteurs, Volume 34, 2008","year":2008,"lang":"fr","type":"article","venue":"Canadian Journal of Remote Sensing","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Index (typography); Geography; Volume (thermodynamics); Cartography; Regional science; Computer science; Physics; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009240502,0.0004265676,0.0006747306,0.0008074961,0.00127476,0.0002676921,0.000334734,0.0004603964,0.0007734537],"category_scores_gemma":[0.0005152141,0.0004078184,0.0003418219,0.0007904181,0.001128916,0.0005684391,0.000009618278,0.001243539,0.0002488551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984056,"about_ca_system_score_gemma":0.004299024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3783421,"about_ca_topic_score_gemma":0.4781789,"domain_scores_codex":[0.9964246,0.0004165002,0.0008904663,0.000346816,0.0005473456,0.001374259],"domain_scores_gemma":[0.9955282,0.000143835,0.0005483504,0.0003583654,0.0005554087,0.002865834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004774587,0.000004808378,0.05082285,0.00003775417,0.00009949583,0.01318999,0.002371993,0.002805898,0.000006663137,0.000001861725,0.06354754,0.8670634],"study_design_scores_gemma":[0.0005331564,0.0002458913,0.1497413,0.0007635251,0.00008257014,0.03800507,0.0005368323,0.1792186,0.00002619347,0.0005293352,0.6298347,0.0004827276],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9150795,0.03641503,0.01733414,0.008789288,0.01306832,0.0001524233,0.0000738994,0.00002678648,0.009060586],"genre_scores_gemma":[0.9242488,0.001261163,0.03511937,0.0007624646,0.002388585,6.049909e-10,0.00001595019,0.00003938522,0.03616427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665807,"threshold_uncertainty_score":0.9998373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378768842088165,"score_gpt":0.217228000253667,"score_spread":0.1834403118327854,"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."}}