{"id":"W7164927988","doi":"10.1080/17153379.2021.12559776","title":"Asia Inside Out: Itinerant People.","year":2021,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"","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":[0.0005986043,0.0003597788,0.0002413909,0.0005705212,0.003315705,0.003136016,0.0003796478,0.001874436,0.07239686],"category_scores_gemma":[0.001315155,0.0001799765,0.0001658768,0.001399479,0.0009498517,0.005432449,0.002712117,0.002927986,0.006548196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007009777,"about_ca_system_score_gemma":0.002750004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02668932,"about_ca_topic_score_gemma":0.05929297,"domain_scores_codex":[0.9997906,0.00007559224,0.00001067442,0.00001839179,0.00002547007,0.00007917846],"domain_scores_gemma":[0.9991708,0.0001093015,0.00006885594,0.00002238832,0.0001117095,0.0005169985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006469827,0.00005102731,0.01116,0.0003068593,0.000007628827,0.001180734,0.04520492,0.00002772609,0.0002374658,0.01523908,0.8191712,0.1073488],"study_design_scores_gemma":[0.000006145311,0.0000221884,0.01528999,0.0006584728,0.00001105622,0.0004524051,0.08473691,0.00003129003,0.00006941136,0.002489351,0.8962203,0.00001258997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04044334,0.05855863,0.0004761622,0.5490903,0.0244997,0.00004192671,0.001165525,0.0002015175,0.3255229],"genre_scores_gemma":[0.2505178,0.1061399,0.0009461103,0.1047539,0.01476102,0.0001472224,0.001049293,0.0002616539,0.5214231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07239686,"threshold_uncertainty_score":0.2421916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07431824559787642,"score_gpt":0.2993171727096638,"score_spread":0.2249989271117874,"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."}}