{"id":"W3022052455","doi":"10.1002/jtr.2361","title":"Identifying active resident hosts of <scp>VFR</scp> visitors","year":2020,"lang":"en","type":"article","venue":"International Journal of Tourism Research","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Ryerson University","keywords":"Tourism; Identification (biology); Immigration; Advertising; Geography; Business; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003399913,0.0001630118,0.0001188309,0.0008772906,0.00112891,0.001198073,0.0004472114,0.0001935571,0.004958724],"category_scores_gemma":[0.001386951,0.00009906738,0.0001052251,0.0006612243,0.0004267252,0.0002929441,0.0007941698,0.0002242636,0.0003932158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134613,"about_ca_system_score_gemma":0.001746525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4327322,"about_ca_topic_score_gemma":0.6614654,"domain_scores_codex":[0.9997831,0.00004013101,0.00001442666,0.000023895,0.00005026055,0.00008815516],"domain_scores_gemma":[0.9988663,0.00008894636,0.0003474033,0.00003429361,0.0002679036,0.0003950645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006270834,0.00002983065,0.979196,0.00006833307,0.00001208476,0.0003044816,0.01089857,0.0000310658,0.0007881648,0.00009596686,0.001137415,0.007375441],"study_design_scores_gemma":[0.000001507816,0.00005622177,0.9612594,0.00006815854,0.000009748983,0.0002230716,0.0363275,0.00007202513,0.0001965751,0.000013693,0.001764667,0.000007321866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980764,0.00006359103,0.0000334271,0.00003959353,0.000003987769,0.00001690529,0.0002185897,0.000003017651,0.001544313],"genre_scores_gemma":[0.9986508,0.0001021984,0.0001157167,0.00001536591,0.000003122487,0.000007407337,0.0001609337,0.000001221794,0.0009432172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4327322,"threshold_uncertainty_score":0.8604268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1291254796708935,"score_gpt":0.4567085138889508,"score_spread":0.3275830342180573,"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."}}