{"id":"W2509813813","doi":"10.5539/ach.v8n2p115","title":"Development, Immigration, And Social Harms of Iranian Small Towns: A Case Study","year":2016,"lang":"en","type":"article","venue":"Asian Culture and History","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Homeland; Politics; Political science; Sociology; Economic growth; Socioeconomics; Law; Economics","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":[0.001105994,0.0006042721,0.0004209284,0.001771059,0.01000136,0.001487947,0.001215216,0.001763276,0.002165535],"category_scores_gemma":[0.001396611,0.00050526,0.0005536262,0.00150476,0.002363357,0.00108769,0.002501641,0.001830327,0.0001762517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002549775,"about_ca_system_score_gemma":0.001900376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572235,"about_ca_topic_score_gemma":0.04578868,"domain_scores_codex":[0.9991762,0.0003978875,0.00002586195,0.00004678125,0.00007973893,0.0002735225],"domain_scores_gemma":[0.9993446,0.0001912356,0.0001437437,0.00003804184,0.00004802504,0.0002342301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001803934,0.003395512,0.1436357,0.0005334679,0.00008313506,0.4496574,0.3577557,0.0004428604,0.001254479,0.005509529,0.004270259,0.03328161],"study_design_scores_gemma":[0.00002179616,0.0008356689,0.09044437,0.0003827179,0.00006222355,0.09217446,0.79875,0.0006093427,0.000508391,0.0006565612,0.01550445,0.00004999417],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970523,0.0005450626,0.00008669936,0.0003700436,0.00001521761,0.00004216316,0.0000115049,0.00000198144,0.001875032],"genre_scores_gemma":[0.9955186,0.002231596,0.0002885219,0.000188345,0.00002468766,0.00004482179,0.00001481037,0.000002543251,0.001686178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572235,"threshold_uncertainty_score":0.03126168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707547844036358,"score_gpt":0.2866808984086507,"score_spread":0.2496054199682871,"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."}}