{"id":"W2894339507","doi":"10.70064/mt.v2i1.724","title":"Geospatial Memory: An Introduction","year":2018,"lang":"en","type":"article","venue":"Media theory.","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Geospatial analysis; Computer science; Data science; Geography; Remote sensing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00116927,0.001368223,0.001011995,0.005460251,0.001802352,0.00534112,0.001325372,0.003059503,0.02340923],"category_scores_gemma":[0.003696351,0.0005923022,0.0007297143,0.005542997,0.002600272,0.008051364,0.003311269,0.004516487,0.007984798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001175008,"about_ca_system_score_gemma":0.001378492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002248168,"about_ca_topic_score_gemma":0.002860506,"domain_scores_codex":[0.9993649,0.0002002745,0.00008645713,0.000104512,0.0001819136,0.00006187232],"domain_scores_gemma":[0.9970194,0.001891351,0.0001570922,0.0001287004,0.0005330828,0.0002703606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000502621,0.0001028401,0.0009354725,0.001881145,0.00002212514,0.0003548712,0.00198739,0.0006344805,0.0006247985,0.1463382,0.5904509,0.2566176],"study_design_scores_gemma":[0.000002390866,0.00003517832,0.0005512232,0.0009347382,0.000004164042,0.0003521581,0.0004240259,0.000110411,0.00005566498,0.02203264,0.975481,0.00001644031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.002895076,0.6148043,0.03059836,0.05949774,0.09951895,0.0002762642,0.001988527,0.0004721762,0.1899485],"genre_scores_gemma":[0.02152018,0.6721565,0.01849994,0.02686132,0.1615459,0.00054107,0.00237594,0.0008506829,0.09564855],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02340923,"threshold_uncertainty_score":0.07831162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555675924742743,"score_gpt":0.2870684107929411,"score_spread":0.2715116515455137,"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."}}