{"id":"W2976553957","doi":"10.1177/0038026119878939","title":"The locative imaginary: Classification, context and relevance in location analytics","year":2019,"lang":"en","type":"article","venue":"The Sociological Review","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Relevance (law); Analytics; Credibility; Sociology; Data science; The Imaginary; Context (archaeology); Social media analytics; Politics; Social media; Computer science; Epistemology; Political science; Psychology; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004049918,0.00007508435,0.0002019492,0.00001090653,0.0005438949,0.00003691447,0.0003115607,0.00005942557,0.0001353513],"category_scores_gemma":[0.004306535,0.00003789929,0.00005838352,0.0004338358,0.001211497,0.00006667656,0.00002703359,0.000222666,0.0001858088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001143288,"about_ca_system_score_gemma":0.0001355712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005728592,"about_ca_topic_score_gemma":0.001504794,"domain_scores_codex":[0.9979395,0.001245755,0.0002703709,0.0001973974,0.0001767633,0.000170158],"domain_scores_gemma":[0.9962444,0.00309038,0.0001424902,0.0002835999,0.0002003405,0.00003873516],"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":[0.00001452324,0.00007711444,0.01972546,0.0002647158,0.00004179518,4.139364e-7,0.006894413,0.0000357775,0.00001084201,0.6486425,0.00271711,0.3215753],"study_design_scores_gemma":[0.0003228108,0.0001112776,0.1325165,0.001256864,0.0001803894,6.920936e-7,0.02632137,0.003686539,0.000001933033,0.1604333,0.6747781,0.0003902572],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.0750838,0.5311463,0.001505385,0.364724,0.0001552945,0.003145703,0.000004218016,0.00009184054,0.0241435],"genre_scores_gemma":[0.8277796,0.1691773,0.000007452581,0.002216429,0.00003444539,0.00004873239,0.000003993443,0.000002145732,0.0007298475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7526958,"threshold_uncertainty_score":0.5155636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05189392038088392,"score_gpt":0.3637051557333565,"score_spread":0.3118112353524726,"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."}}