{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168232,0.0001085029,0.0003132338,0.0001830508,0.0003958766,0.0001411146,0.000472322,0.0000845843,0.0001709651],"category_scores_gemma":[0.0008483675,0.00008917586,0.0001331139,0.000582317,0.0001721444,0.0005854712,0.0001157,0.0005425405,0.00005478758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007845063,"about_ca_system_score_gemma":0.0001275838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01010591,"about_ca_topic_score_gemma":0.02599987,"domain_scores_codex":[0.9979967,0.0004907141,0.0006336572,0.00005947823,0.0005380808,0.0002813774],"domain_scores_gemma":[0.9986781,0.0003153946,0.0004636935,0.0001144588,0.0002446158,0.0001837387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000486336,0.0001168912,0.7170262,0.00007625542,0.0001218818,0.00001437058,0.1817303,0.000005271317,0.00001637835,0.01477274,0.08445661,0.001614541],"study_design_scores_gemma":[0.0010161,0.0001149229,0.0740158,0.00006787989,0.00001296087,0.000009803676,0.03427406,0.00001799932,0.000003364158,0.0007538249,0.8895639,0.0001494493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5939142,0.0008622349,0.0001222273,0.05688723,0.001006691,0.0004386412,0.00002209964,0.0000303311,0.3467163],"genre_scores_gemma":[0.9975205,0.0001387257,0.00009917513,0.001316939,0.0002723776,0.000002494997,0.000003945373,0.000006616961,0.0006392153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8051072,"threshold_uncertainty_score":0.9964859,"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."}}