{"id":"W4237525101","doi":"10.22215/etd/2014-10288","title":"Re-activating Farmland in Ottawa's Greenbelt: establishing a concept of infrastructure development in the southern farm sector","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agriculture and Agri-Food Canada","keywords":"Urban sprawl; Environmental planning; Geography; Agriculture; Sustainability; Urban planning; Expropriation; Population; Business; Agricultural economics; Environmental protection; Civil engineering; Political science; Engineering; Ecology; Archaeology; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009838673,0.0002554354,0.000154178,0.0007522886,0.009375512,0.008201757,0.0009613017,0.001044437,0.003286978],"category_scores_gemma":[0.0007960056,0.0002479789,0.0002254701,0.001006586,0.01371596,0.00228666,0.00384713,0.001886606,0.0003208077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04271388,"about_ca_system_score_gemma":0.07357015,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6687596,"about_ca_topic_score_gemma":0.9380829,"domain_scores_codex":[0.9991493,0.0001578627,0.00001550059,0.0001135883,0.0001797788,0.000384032],"domain_scores_gemma":[0.9993289,0.00007635727,0.00004893884,0.00004869614,0.0001969534,0.0003002356],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008270825,0.0001510112,0.01958352,0.0002435405,0.00001470653,0.0013442,0.126075,0.003075726,0.004787823,0.7551616,0.02312435,0.06635589],"study_design_scores_gemma":[0.00001744374,0.000133232,0.04812092,0.0005391589,0.00002951278,0.0004143409,0.1759012,0.001038582,0.002404448,0.0363527,0.7349617,0.00008665358],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4102525,0.002386621,0.005205248,0.01986599,0.0002086028,0.0002147655,0.0001487639,0.00006426201,0.5616533],"genre_scores_gemma":[0.924275,0.001163132,0.004601797,0.0008265168,0.00001158873,0.00005531838,0.00003975711,0.00001740797,0.06900948],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3312404,"threshold_uncertainty_score":0.6663822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394521367576013,"score_gpt":0.2358992621612283,"score_spread":0.2219540484854682,"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."}}