{"id":"W1847923113","doi":"10.3968/7709","title":"Management of Land for Industrial Buildings During the New Urbanization Process","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Publicity; Industrialisation; Urbanization; Business; Process (computing); Land management; Land development; Land use; Environmental planning; Natural resource economics; Economic growth; Economics; Civil engineering; Market economy; Marketing; Geography; Engineering; Computer science","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":[0.0005762741,0.0001054985,0.000166645,0.0006555904,0.001869483,0.001182963,0.0004637659,0.0003124633,0.001848505],"category_scores_gemma":[0.001473706,0.000113567,0.0002081108,0.0007518288,0.001656222,0.001034872,0.001105473,0.0003925919,0.0001927087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001980078,"about_ca_system_score_gemma":0.00177201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01745249,"about_ca_topic_score_gemma":0.07204888,"domain_scores_codex":[0.9994467,0.0001681072,0.00002810258,0.00003868689,0.0001484288,0.00016989],"domain_scores_gemma":[0.9989381,0.0001673934,0.0004571908,0.00007192796,0.0002121345,0.0001533199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002120479,0.0004093982,0.71293,0.0002523201,0.00004051211,0.005307385,0.09707498,0.003462753,0.01194435,0.01330357,0.003549335,0.1515133],"study_design_scores_gemma":[0.000009138284,0.0001816063,0.862053,0.00005423264,0.00001360319,0.0007371025,0.09517518,0.001837893,0.002909658,0.001483176,0.03551354,0.00003198624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906126,0.0001426724,0.0003981933,0.0003789231,0.000005948335,0.00002191974,0.00002165935,0.000008068348,0.00841005],"genre_scores_gemma":[0.9976171,0.0001165887,0.0002782893,0.00001395641,0.000003533551,0.000004629032,0.00002234615,0.000002048385,0.001941458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01745249,"threshold_uncertainty_score":0.03470176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0433552560662027,"score_gpt":0.2724876461341831,"score_spread":0.2291323900679804,"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."}}