{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01701774,0.0005881321,0.0006335685,0.004802249,0.03026047,0.03009162,0.002159179,0.005548778,0.008441132],"category_scores_gemma":[0.01843842,0.0005339215,0.0003687467,0.007314741,0.148854,0.02191583,0.01483825,0.008962859,0.0006862208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04809083,"about_ca_system_score_gemma":0.03631063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3700658,"about_ca_topic_score_gemma":0.3430234,"domain_scores_codex":[0.9828455,0.01192555,0.000273716,0.001014848,0.002445321,0.00149512],"domain_scores_gemma":[0.976168,0.01398625,0.0009787751,0.002055584,0.003395465,0.003415819],"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":[0.000009505388,0.00001079289,0.0005477585,0.00002918808,0.000004523185,0.0001475518,0.1524488,0.0001488748,0.00009067697,0.82486,0.01330227,0.008400057],"study_design_scores_gemma":[0.000005191888,0.00001130057,0.0006052164,0.0002280127,0.000005240419,0.0000871512,0.1943437,0.0003040295,0.0001163942,0.1056546,0.6986127,0.00002639182],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07242432,0.01244164,0.01907797,0.3942316,0.002044832,0.00007807089,0.0002095189,0.0002383432,0.4992537],"genre_scores_gemma":[0.9663004,0.004240294,0.003293228,0.008988708,0.000386676,0.00004698793,0.00006262646,0.000175148,0.01650594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9697396,"threshold_uncertainty_score":0.7358235,"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."}}