{"id":"W2576146162","doi":"10.7939/r3d21rn3q","title":"Spatial and temporal patterns of the industrial footprint in northeast Alberta, 1960-2000","year":2004,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Footprint; Geography; Physical geography; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004879052,0.0000899402,0.0003102194,0.0001497719,0.00004512786,0.000008932945,0.0002602097,0.00009303763,0.0003681714],"category_scores_gemma":[0.00001348206,0.0000938415,0.0001352336,0.0001322147,0.0001070738,0.0002118212,0.0001589355,0.0001069835,0.00001387232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003596969,"about_ca_system_score_gemma":0.00008440531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3020699,"about_ca_topic_score_gemma":0.05180383,"domain_scores_codex":[0.9993553,0.00001392868,0.00028515,0.0002079333,0.00002415152,0.0001134996],"domain_scores_gemma":[0.9994246,0.0000559474,0.0002742579,0.0001905079,0.000004812231,0.00004990423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005198939,0.00006065024,0.9689741,0.000008650406,0.0000426939,0.000001334489,0.001700515,0.0002175722,6.92196e-7,0.02854164,0.00002131845,0.0003788627],"study_design_scores_gemma":[0.002633649,0.00008963452,0.9708173,0.0000729034,0.00001996932,0.000002471453,0.000758017,0.0006839195,0.00009664227,0.009029512,0.015536,0.0002599269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856664,0.00004193452,0.00009852806,0.002800581,0.00006293062,0.00009552865,0.00002711279,0.000002391728,0.01120462],"genre_scores_gemma":[0.9972014,0.00005480318,0.00005983031,0.00004834167,0.00002997457,1.347484e-7,0.00001403965,0.000006959873,0.002584498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.250266,"threshold_uncertainty_score":0.9654983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511724151469735,"score_gpt":0.1491974835027637,"score_spread":0.1340802419880663,"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."}}