{"id":"W282102758","doi":"","title":"The Components of Spatial Changes in the Southern Region of Brazil/Les Composantes Des Changements Spatiaux Dans la Region Sud Du Bresil *","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Differential (mechanical device); Geography; Economic geography; Period (music); State (computer science); Regional science; Welfare economics; Economy; Economics; Mathematics; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004791572,0.0001517079,0.0001948559,0.002344531,0.0005515074,0.001073533,0.0002120103,0.0001478134,0.001780555],"category_scores_gemma":[0.001982406,0.0001219505,0.0003485911,0.004218882,0.000851773,0.0004993896,0.0008886424,0.0001880484,0.00007893823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002346911,"about_ca_system_score_gemma":0.001141563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1466963,"about_ca_topic_score_gemma":0.1846042,"domain_scores_codex":[0.999739,0.00005273727,0.00002282719,0.00006676872,0.00006732102,0.00005125491],"domain_scores_gemma":[0.9993823,0.0001383886,0.000195504,0.00005011984,0.0001943183,0.00003945362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005804526,0.0000100171,0.9097607,0.0001714714,0.000111382,0.0003750052,0.01302865,0.001478365,0.004017868,0.02355871,0.0005444533,0.04688535],"study_design_scores_gemma":[0.000001218694,0.000006217878,0.9893882,0.00003391719,0.00001942547,0.0001114894,0.003836834,0.000599762,0.0001833413,0.0009622035,0.004851804,0.000005518368],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888573,0.0009523872,0.0006012291,0.000328521,0.000006113062,0.00001216405,0.0006726659,0.000008961845,0.008560671],"genre_scores_gemma":[0.9991556,0.0001821282,0.0002817534,0.000004781351,0.000002721978,0.000004007675,0.0001164089,0.00000204256,0.0002505137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1466963,"threshold_uncertainty_score":0.2916848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563369082951576,"score_gpt":0.2285891194079464,"score_spread":0.1829554285784306,"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."}}