{"id":"W1483566502","doi":"10.1111/j.1541-0064.2009.00250.x","title":"Critical GIScience in Canada in the new millennium","year":2009,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Constructive; Appeal; Component (thermodynamics); Geographic information system; Power (physics); Data science; Geography; Sociology; Regional science; Computer science; Political science; Cartography; Process (computing)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001388085,0.0003521051,0.0004214325,0.004153535,0.001418954,0.0002710837,0.001346399,0.0001554574,0.0000703013],"category_scores_gemma":[0.0008031296,0.0003155957,0.0001586969,0.01308904,0.001574671,0.0006883938,0.00002527084,0.0004384223,0.000006346231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00071556,"about_ca_system_score_gemma":0.004954853,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999091,"about_ca_topic_score_gemma":0.9999997,"domain_scores_codex":[0.9954768,0.0002693673,0.0007088654,0.0004715906,0.0008331598,0.002240255],"domain_scores_gemma":[0.9975357,0.0005159623,0.0001099534,0.0005150874,0.0002278455,0.00109542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001277577,0.00002616522,0.5700757,0.00002420251,0.00002490407,0.0003880046,0.06408668,0.00005569242,0.000001292098,0.2555801,0.09894852,0.01077601],"study_design_scores_gemma":[0.0002315668,0.00004182206,0.5534042,0.00006327293,0.000009112069,0.00001610517,0.1913075,0.000005993292,5.400581e-7,0.004998042,0.2494982,0.0004236801],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7698706,0.007955356,0.00000433047,0.1087446,0.002295002,0.001438736,0.00009319794,0.00009133305,0.1095068],"genre_scores_gemma":[0.9924046,0.001705499,0.00005560841,0.005441451,0.0001610934,0.00005361074,0.000008227091,0.00001106537,0.0001587771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.250582,"threshold_uncertainty_score":0.9999296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104183368029687,"score_gpt":0.2311146593611985,"score_spread":0.2200728256809016,"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."}}