{"id":"W2909241013","doi":"10.5821/dissertation-2117-450742","title":"From Barcelona to Vancouver: the use of the green areas along space/time","year":2024,"lang":"en","type":"article","venue":"","topic":"Urban Planning and Landscape Design","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Space (punctuation); Computer science","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":[0.0005019918,0.0002638919,0.0002092006,0.001030716,0.009762805,0.005156389,0.0007481645,0.0007290516,0.01080928],"category_scores_gemma":[0.001579483,0.0001880155,0.0001432461,0.002554308,0.001736072,0.0008641173,0.00162614,0.001349079,0.001222011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01125363,"about_ca_system_score_gemma":0.007785979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8238022,"about_ca_topic_score_gemma":0.9539155,"domain_scores_codex":[0.999441,0.0001848486,0.00001376984,0.00007984971,0.0001383308,0.0001421412],"domain_scores_gemma":[0.9992501,0.0001504327,0.0000571222,0.00002614138,0.0003089137,0.0002072505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002415494,0.0001657493,0.053759,0.0004609187,0.00002258037,0.005030214,0.6476765,0.0004028594,0.001723533,0.0185892,0.09992513,0.1720027],"study_design_scores_gemma":[0.000007655571,0.00004031635,0.07894196,0.0003918516,0.000008346594,0.0004170847,0.5984762,0.00007801491,0.0002445157,0.0006250834,0.3207397,0.00002932204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6506909,0.004342665,0.0005653853,0.008169177,0.0007497184,0.0001196941,0.001199252,0.00005688019,0.3341064],"genre_scores_gemma":[0.8780736,0.003104425,0.0007630319,0.0009612821,0.0000571829,0.00008512844,0.0005457636,0.00006603528,0.1163436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1761978,"threshold_uncertainty_score":0.354471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01671722792584807,"score_gpt":0.1934967560612426,"score_spread":0.1767795281353945,"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."}}