{"id":"W2052239182","doi":"10.1007/s10980-013-9905-x","title":"Categorical, class-focused map patterns: characterization and comparison","year":2013,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Metric (unit); Landscape ecology; Categorical variable; Class (philosophy); Mathematics; Binary number; Computer science; Statistics; Artificial intelligence; Ecology; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001353253,0.0002272987,0.0002836223,0.004858766,0.0002383101,0.001011777,0.000591039,0.0003077369,0.002985459],"category_scores_gemma":[0.00804221,0.000112454,0.0003358795,0.003604591,0.0004262861,0.0008528758,0.0007991273,0.0002209866,0.0004949602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003642611,"about_ca_system_score_gemma":0.0002946893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002308332,"about_ca_topic_score_gemma":0.004136562,"domain_scores_codex":[0.9990889,0.0002509097,0.00008538018,0.0001965013,0.0002959519,0.00008235595],"domain_scores_gemma":[0.994561,0.001897317,0.0006797031,0.0009381906,0.001695851,0.0002278249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001703824,0.000274439,0.7810169,0.0004113858,0.0004236613,0.0001359482,0.001378606,0.00417953,0.01582394,0.003829459,0.002106367,0.188716],"study_design_scores_gemma":[0.00003328348,0.00024926,0.96718,0.00003337534,0.0001359802,0.0006329961,0.001593508,0.02197131,0.002336801,0.003737907,0.002058536,0.00003703386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690776,0.0002532283,0.02291239,0.00004746331,0.00001481171,0.00008129929,0.003596002,0.0002295122,0.003787786],"genre_scores_gemma":[0.9906387,0.00006333716,0.006693842,0.00000636978,0.000004571584,0.00004301445,0.002186548,0.00002949564,0.0003340626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004858766,"threshold_uncertainty_score":0.009987295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008016260116469909,"score_gpt":0.2027914886448371,"score_spread":0.1947752285283672,"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."}}