{"id":"W3151620880","doi":"10.1080/20964471.2021.1898780","title":"Analytics of big geosocial media and crowdsourced data","year":2021,"lang":"en","type":"article","venue":"Big Earth Data","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Crowdsourcing; Social media; Big data; Analytics; Data science; World Wide Web; Computer science; Internet privacy; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194868,0.00006614884,0.0001809796,0.00005394687,0.0002803555,0.00008816492,0.0008669048,0.00007591007,0.0003717673],"category_scores_gemma":[0.002513193,0.00006904028,0.00002461522,0.0005009017,0.0003711742,0.0001732452,0.0005941739,0.00008690335,0.0000142646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007192209,"about_ca_system_score_gemma":0.0006331911,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006765719,"about_ca_topic_score_gemma":0.230629,"domain_scores_codex":[0.998608,0.0002290819,0.0002177039,0.0003974027,0.0003765604,0.0001712425],"domain_scores_gemma":[0.9978074,0.0003248647,0.00008490421,0.001537896,0.000136264,0.0001087031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003548411,0.0005047641,0.07065753,0.0001658635,0.0005174648,0.00004638428,0.0208037,0.00006079397,0.0006118529,0.009123615,0.01626304,0.8812095],"study_design_scores_gemma":[0.0009838957,0.00002906971,0.1272603,0.00008799719,0.0007019528,0.000001537656,0.01481073,0.01307731,0.0003152674,0.002360501,0.8397873,0.0005841],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9256601,0.004827925,0.01277682,0.01609726,0.00139918,0.0005478054,0.01801649,0.0002080124,0.02046636],"genre_scores_gemma":[0.9941891,0.0004272181,0.0003974921,0.0001393717,0.0006156276,6.32295e-7,0.0036259,0.000005343535,0.0005992566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8806254,"threshold_uncertainty_score":0.9998483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.194622147457639,"score_gpt":0.3503448106989038,"score_spread":0.1557226632412647,"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."}}