{"id":"W2489522791","doi":"10.1007/978-3-319-25781-5_3","title":"Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos","year":2016,"lang":"en","type":"book-chapter","venue":"Advances in computer vision and pattern recognition","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Estimator; Geography; The Internet; Information retrieval; Artificial intelligence; World Wide Web; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000464991,0.0002858418,0.0003056372,0.0001623759,0.000656186,0.0001596377,0.0001786153,0.0003085894,0.0005086904],"category_scores_gemma":[0.00001717581,0.000208147,0.00007937479,0.00006645331,0.0002458907,0.000835868,0.000083263,0.0003930273,0.0002299124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008455553,"about_ca_system_score_gemma":0.00002781678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003665976,"about_ca_topic_score_gemma":0.002298544,"domain_scores_codex":[0.9981184,0.0001601928,0.0005613263,0.0004091047,0.0005138299,0.0002371313],"domain_scores_gemma":[0.9985753,0.0004115171,0.0005263295,0.0001699615,0.0002519661,0.00006493057],"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":[0.00001929705,0.00001124307,0.001341292,0.00007990772,0.00003241902,0.000001742283,0.004359189,0.00001283006,0.000005969058,0.0001357667,0.001767923,0.9922324],"study_design_scores_gemma":[0.0007577905,0.0001660974,0.0006110203,0.003376512,0.00003543132,0.000004189145,0.001107046,0.001058516,0.00001362641,0.008163451,0.9842608,0.0004455157],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01007594,0.03959145,0.2922002,0.004355096,0.01138183,0.006604787,0.00141695,0.0009916832,0.633382],"genre_scores_gemma":[0.703545,0.2210643,0.0006596409,0.002591246,0.005420905,0.0004829071,0.00223728,0.0001751467,0.06382366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9917869,"threshold_uncertainty_score":0.8487986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.017453156870637,"score_gpt":0.261638857860583,"score_spread":0.244185700989946,"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."}}