{"id":"W3151872683","doi":"10.18357/anthropologica6312021276","title":"Staying at Home","year":2021,"lang":"en","type":"article","venue":"Anthropologica","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); State (computer science); Refugee; Sociology; Spring (device); 2019-20 coronavirus outbreak; History; Political science; Gender studies; Geography; Medicine; Law; Engineering; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001451127,0.0005812176,0.0004877416,0.0004496927,0.01794772,0.006748048,0.00101987,0.002343497,0.01200791],"category_scores_gemma":[0.003798028,0.0003008535,0.0005264765,0.0003634747,0.01422292,0.006161334,0.008814483,0.007981649,0.00348035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149753,"about_ca_system_score_gemma":0.002638407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01020547,"about_ca_topic_score_gemma":0.02482737,"domain_scores_codex":[0.9982128,0.0007038769,0.00003787184,0.0001779544,0.0002317147,0.0006358689],"domain_scores_gemma":[0.9977995,0.0001884443,0.0002759282,0.0001174317,0.0003869489,0.001231742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009144466,0.0001833536,0.01440751,0.0002295958,0.00006112122,0.002069714,0.7406758,0.00006463517,0.001457175,0.02140637,0.1661559,0.05319746],"study_design_scores_gemma":[0.000005684972,0.000158095,0.006243441,0.0002649762,0.0000260877,0.00138822,0.7458207,0.00002873054,0.0002167931,0.002478763,0.2433296,0.00003879116],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.594809,0.0127969,0.004542531,0.1553049,0.01448644,0.00008849722,0.0003035216,0.0004022673,0.2172659],"genre_scores_gemma":[0.864961,0.005682271,0.001484507,0.0332103,0.0006606271,0.00005659443,0.0001620985,0.0001967743,0.09358583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01794772,"threshold_uncertainty_score":0.04017049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079820764045365,"score_gpt":0.3812914196810309,"score_spread":0.3304932120405772,"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."}}