{"id":"W2965208645","doi":"","title":"Finding their new land: site selection and conceptual design for an urban farm for newcomers in Winnipeg's inner city","year":2017,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Site selection; Selection (genetic algorithm); Environmental planning; Geography; Urban design; Civil engineering; Architectural engineering; Environmental resource management; Engineering; Urban planning; Environmental science; Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003740708,0.000381709,0.0002666817,0.001432609,0.007526201,0.005105643,0.002210953,0.0007580568,0.00572341],"category_scores_gemma":[0.002439452,0.0003429109,0.0003212947,0.00138018,0.003926214,0.001325219,0.002452104,0.0008169152,0.0004435291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0165684,"about_ca_system_score_gemma":0.0211904,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3388941,"about_ca_topic_score_gemma":0.7192276,"domain_scores_codex":[0.9986132,0.0007834389,0.00003162092,0.0001154575,0.0001844857,0.0002716464],"domain_scores_gemma":[0.9988531,0.0003401658,0.00005428784,0.00006587517,0.0003192229,0.0003672919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000276868,0.0009738451,0.07562038,0.001357173,0.00004253833,0.005811851,0.5710202,0.005472474,0.01097865,0.07988997,0.02097848,0.2275775],"study_design_scores_gemma":[0.00003420015,0.0003130716,0.02443781,0.0002250519,0.00002714987,0.0002691498,0.8702338,0.001892424,0.0008420974,0.002913207,0.09877874,0.00003321206],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254836,0.0004072057,0.02428165,0.00435875,0.0000694925,0.00324387,0.0002887493,0.00008969049,0.04177702],"genre_scores_gemma":[0.8723226,0.0007258792,0.1062755,0.000315094,0.000008384607,0.001498462,0.0003209855,0.00006255433,0.01847052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6611059,"threshold_uncertainty_score":0.673843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04422080741079571,"score_gpt":0.226728590448054,"score_spread":0.1825077830372583,"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."}}