{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003861171,0.001495321,0.0009176535,0.008690171,0.001039548,0.004221383,0.001361069,0.001342965,0.003058992],"category_scores_gemma":[0.02222539,0.0005277354,0.0009805238,0.0113057,0.001464552,0.005913905,0.005328747,0.001391696,0.001808073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343374,"about_ca_system_score_gemma":0.002168195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007444048,"about_ca_topic_score_gemma":0.008879974,"domain_scores_codex":[0.9945112,0.001825282,0.0002298511,0.0007561229,0.002305953,0.0003716071],"domain_scores_gemma":[0.9857838,0.007509684,0.001518137,0.002577879,0.001745834,0.0008646826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004554589,0.0005054655,0.1128429,0.00467276,0.001505892,0.001984136,0.004618155,0.1144807,0.006607116,0.1650088,0.2612031,0.3261156],"study_design_scores_gemma":[0.000068291,0.0001271356,0.06540139,0.001087358,0.0001735412,0.0005599146,0.01087349,0.2249533,0.004682279,0.4579746,0.2338766,0.0002220291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2518424,0.02117461,0.395129,0.04207843,0.004728032,0.001645284,0.1853697,0.008003934,0.0900286],"genre_scores_gemma":[0.7540208,0.009785589,0.1238465,0.002133739,0.002556304,0.0008247254,0.09756108,0.0007562534,0.008515012],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008690171,"threshold_uncertainty_score":0.02042007,"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."}}