{"id":"W3081096184","doi":"10.1080/17445647.2020.1805806","title":"A community farm maps back! Disputes over public urban farmland in Calgary, Alberta","year":2020,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Mitacs","keywords":"Vernacular; Volunteered geographic information; Situated; Geography; State (computer science); Politics; Digital mapping; Sociology; Cartography; Political science; Computer science; Law; Linguistics","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":[0.001684256,0.0001588601,0.0002504546,0.0006516948,0.02720531,0.006221295,0.00176397,0.002096367,0.008110948],"category_scores_gemma":[0.003117107,0.0002464997,0.0001028782,0.001524552,0.0118518,0.001370412,0.003587702,0.002611153,0.0002417331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03798248,"about_ca_system_score_gemma":0.02590734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9457085,"about_ca_topic_score_gemma":0.9856567,"domain_scores_codex":[0.9988072,0.0003340246,0.00001635354,0.0001337495,0.0002664626,0.0004422892],"domain_scores_gemma":[0.9981724,0.0007391517,0.00009373973,0.000114818,0.0004125019,0.0004673561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002209022,0.0001047967,0.028892,0.0001362843,0.00002463791,0.008513484,0.7486111,0.0006388171,0.001921609,0.06433009,0.08695928,0.05964713],"study_design_scores_gemma":[0.000007583376,0.00001857535,0.01799892,0.00008671897,0.000007025138,0.0001454023,0.8396617,0.0002063023,0.0002254753,0.002102801,0.1395208,0.00001867026],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8519846,0.001103895,0.0005431367,0.02920928,0.0003159337,0.00005301142,0.0001779497,0.00003918536,0.116573],"genre_scores_gemma":[0.9620504,0.000442023,0.0002339974,0.002287257,0.00002610751,0.0000137198,0.00007466548,0.00002427661,0.03484759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05429155,"threshold_uncertainty_score":0.2755834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04528123470740037,"score_gpt":0.2783455617231355,"score_spread":0.2330643270157352,"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."}}