{"id":"W1604675514","doi":"10.1111/cag.12118","title":"New lines? Enacting a social history of GIS","year":2014,"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":"","funders":"","keywords":"Data science; Sociology; Computer science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001207371,0.0003895795,0.0006404452,0.00497242,0.001482356,0.0000836864,0.0007372383,0.0003185565,0.0002812182],"category_scores_gemma":[0.0005893389,0.0004410109,0.0005055663,0.00444416,0.002462488,0.0005312584,0.00005336505,0.0002680531,0.0000167064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005013273,"about_ca_system_score_gemma":0.001355859,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9584834,"about_ca_topic_score_gemma":0.9966484,"domain_scores_codex":[0.9964739,0.0002182157,0.0007912323,0.0004218728,0.0006110058,0.001483792],"domain_scores_gemma":[0.9968913,0.0002798066,0.0005143064,0.0004133312,0.0006445527,0.0012567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002339589,0.00002097192,0.1714672,0.0001724583,0.0004570463,0.00001232049,0.1695192,0.000007601276,0.00002607794,0.3688511,0.2421351,0.04730744],"study_design_scores_gemma":[0.0003178939,0.00005462503,0.03198262,0.00005137608,0.00005925426,0.000004638457,0.05763141,0.000004887524,0.000003366499,0.002058371,0.9073406,0.0004909297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4790534,0.005766474,0.0001381648,0.007570979,0.007776428,0.001248133,0.0001359504,0.000575839,0.4977346],"genre_scores_gemma":[0.9924199,0.0006230269,0.0004111699,0.0006012861,0.0008838673,0.00004807448,0.00002554231,0.00004298799,0.00494414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6652055,"threshold_uncertainty_score":0.9998176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529346857458584,"score_gpt":0.2184140690883892,"score_spread":0.2031206005138033,"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."}}