{"id":"W6912758572","doi":"10.5281/zenodo.6526915","title":"URBAN EXTENSION AND RECONVERSION OF URBAN MARKETS IN ANGREEXTENSION","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Quarter (Canadian coin); Supply and demand; Field research; Urban area; Urban spatial structure; Field survey; Field (mathematics)","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001346121,0.00006876793,0.0001079131,0.0002355316,0.002116499,0.00007766663,0.0003505638,0.00003650918,0.007224038],"category_scores_gemma":[0.0002973617,0.00007430109,0.0000227387,0.0004503601,0.0001710492,0.0001590986,0.0008210593,0.000176971,0.0001422031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001492552,"about_ca_system_score_gemma":0.000006361708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009676064,"about_ca_topic_score_gemma":0.000003622737,"domain_scores_codex":[0.9983368,0.000630646,0.0001692765,0.0002607135,0.0003820047,0.0002205385],"domain_scores_gemma":[0.99948,0.00003196484,0.00007833264,0.0001511839,0.0001634286,0.00009507995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002804013,0.0002544736,0.0004424517,0.00006181135,0.00001917758,0.00003731182,0.03730614,0.000006300168,0.004748788,0.01028136,0.79922,0.1473417],"study_design_scores_gemma":[0.0003571131,0.0001166364,0.01679209,0.00002389361,0.000003359217,0.00001031939,0.006988843,0.00007719744,0.00005005638,0.0001548278,0.9753243,0.0001013356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8028232,0.00117205,0.00003176221,0.005491072,0.0004237695,0.0007533271,0.00005324415,0.0004059373,0.1888457],"genre_scores_gemma":[0.9961838,0.0007005471,0.00006402361,0.00007738788,0.00004064411,3.089696e-8,0.0001247408,0.0001859093,0.002622951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1933606,"threshold_uncertainty_score":0.9991826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04089758202467226,"score_gpt":0.2475123144541687,"score_spread":0.2066147324294965,"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."}}