{"id":"W7018611984","doi":"","title":"The effects of remote work on urban sprawl : 20 years of pre-covid data","year":2024,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Urban sprawl; Urban regeneration; Metropolitan area; Urban planning; Transportation infrastructure","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007586019,0.0002595286,0.0006606849,0.0002348719,0.0001351128,0.00001575822,0.002242338,0.0003277689,0.0003862336],"category_scores_gemma":[0.0001796814,0.000263357,0.0002612124,0.0008519153,0.002124261,0.0001722295,0.0003529245,0.0005072444,0.00005815762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001187891,"about_ca_system_score_gemma":0.0003574196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6907917,"about_ca_topic_score_gemma":0.9775179,"domain_scores_codex":[0.9975498,0.0004587934,0.0003681202,0.0006586963,0.0005729778,0.0003916054],"domain_scores_gemma":[0.9968582,0.001153031,0.0005087291,0.001302247,0.00004202351,0.0001357336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006434011,0.0004513169,0.0113647,0.001268983,0.0003670086,0.0001400973,0.09802038,0.00001291752,0.00002062811,0.003344059,0.01120769,0.8731588],"study_design_scores_gemma":[0.001046094,0.0003025154,0.8798885,0.00340128,0.000624445,1.730421e-7,0.01022802,0.0001858306,0.00001845307,0.01996358,0.08388426,0.0004568937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9136852,0.004730592,0.00007143932,0.0007017623,0.0007112038,0.001031518,0.0002893685,0.00003843477,0.07874046],"genre_scores_gemma":[0.6779581,0.001348527,0.0007319333,0.00002020741,0.0001391491,3.717564e-7,0.00007750661,0.00005768394,0.3196665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8727019,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406530035327779,"score_gpt":0.241547400243542,"score_spread":0.2274820998902642,"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."}}