{"id":"W2981572194","doi":"10.4095/219867","title":"Land Use and Cover with Intensity Assessment for Canada from Satellite and Census Data","year":2003,"lang":"en","type":"report","venue":"","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Satellite; Cover (algebra); Geography; Land cover; Intensity (physics); Remote sensing; Environmental science; Meteorology; Cartography; Physical geography; Climatology; Land use; Geology; Engineering; Demography; Civil engineering; Population; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008264415,0.0005472523,0.0003092265,0.004792572,0.0008506329,0.000864446,0.000746211,0.0001248542,0.003422436],"category_scores_gemma":[0.002682362,0.0002433667,0.0005025237,0.009536911,0.0001799034,0.0003924301,0.0007802106,0.0003120727,0.0008830471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01532486,"about_ca_system_score_gemma":0.03043334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925384,"about_ca_topic_score_gemma":0.9953179,"domain_scores_codex":[0.9986638,0.0000514195,0.00005837098,0.00008928652,0.0009715401,0.0001656208],"domain_scores_gemma":[0.9964496,0.00007639445,0.0002781551,0.0001405705,0.002854965,0.0002001923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001964386,0.0001028846,0.7544155,0.0003171555,0.0002256194,0.0001488101,0.000520921,0.008095011,0.002107566,0.003425525,0.059696,0.1707486],"study_design_scores_gemma":[0.00002951692,0.00002631734,0.93447,0.00005744728,0.00006336666,0.00006280893,0.000340819,0.009669743,0.001456343,0.0003249008,0.05346124,0.000037567],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.3403498,0.001793972,0.0202055,0.0007342384,0.00006785497,0.001710446,0.571635,0.001309279,0.06219398],"genre_scores_gemma":[0.4560689,0.001986483,0.05445372,0.000166528,0.00003088309,0.001001135,0.4555166,0.0002060506,0.03056963],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01532486,"threshold_uncertainty_score":0.1111901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06854379044254381,"score_gpt":0.2577975838180843,"score_spread":0.1892537933755405,"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."}}