{"id":"W317707520","doi":"10.4000/lisa.2303","title":"La traduction de l’innovation dans l’espace urbain en Amérique du Nord","year":2006,"lang":"fr","type":"article","venue":"Revue LISA / LISA e-journal","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Economic geography; Space (punctuation); Urban space; Regional science; Economic growth; Geography; Economic system; Economy; Sociology; Economics","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":[0.002962309,0.0003783469,0.0007839002,0.0008407993,0.0004860127,0.0008247581,0.0004606227,0.0005391021,0.000878613],"category_scores_gemma":[0.0002643,0.0004938132,0.0005846711,0.0008684354,0.0001701188,0.0009621429,0.00005779991,0.001097154,0.0001924438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402421,"about_ca_system_score_gemma":0.0001519643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001446913,"about_ca_topic_score_gemma":0.001219188,"domain_scores_codex":[0.996734,0.0002266916,0.001792898,0.0005144515,0.00008597624,0.0006460105],"domain_scores_gemma":[0.9973565,0.0002170242,0.001719697,0.0003326709,0.0001909403,0.0001831554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008971232,0.0005903924,0.09504653,0.0001372858,0.0004606809,0.0002513561,0.005154516,0.03538579,0.0002386853,0.8067992,0.04167814,0.01416772],"study_design_scores_gemma":[0.0009681155,0.0001724247,0.03462481,0.000165674,0.00009976917,0.003781741,0.000670727,0.03283452,0.00009056793,0.04562718,0.8802708,0.0006936226],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.780182,0.009276201,0.1038243,0.0589999,0.004283321,0.0002305318,0.0001700718,0.00003259932,0.0430011],"genre_scores_gemma":[0.8685181,0.01964795,0.00437471,0.0004735122,0.01275277,0.00001819561,0.00009990942,0.0001060166,0.09400888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8385927,"threshold_uncertainty_score":0.9997513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139745044578438,"score_gpt":0.2025561097462118,"score_spread":0.188581605288368,"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."}}