{"id":"W7164877820","doi":"10.1080/17153379.2025.12558617","title":"Sonic Mobilities: Producing Worlds in Southern China","year":2025,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Southern china; China; Sound (geography)","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":[0.0003705363,0.0003193674,0.0001464387,0.001323495,0.004937622,0.002447761,0.0004931822,0.000336581,0.008491567],"category_scores_gemma":[0.0005450545,0.0001704429,0.0001757472,0.00249032,0.002344573,0.001397425,0.003186222,0.0004216201,0.000323883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002276125,"about_ca_system_score_gemma":0.002840518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06485744,"about_ca_topic_score_gemma":0.1682896,"domain_scores_codex":[0.9998555,0.00003326959,0.000003534913,0.00002156998,0.00001670888,0.00006933065],"domain_scores_gemma":[0.9997976,0.00004151852,0.00003108058,0.0000194219,0.00001601253,0.00009437616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000235436,0.0001740687,0.2696931,0.0001827003,0.00004378038,0.00306214,0.5751532,0.001056997,0.004932789,0.04724935,0.004017851,0.09419854],"study_design_scores_gemma":[0.00002477277,0.000143777,0.4221404,0.0000651333,0.00005708655,0.0002271419,0.5202914,0.00183501,0.00100402,0.007261192,0.04691994,0.00002996902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9791564,0.0000813921,0.0002648463,0.0003139578,0.000005987925,0.0000110547,0.00004240023,0.00001738513,0.02010657],"genre_scores_gemma":[0.9965296,0.00004981851,0.0001475682,0.00001142764,0.000003225361,0.000004701975,0.00002577461,0.000004089192,0.003223812],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06485744,"threshold_uncertainty_score":0.1289598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198118368528668,"score_gpt":0.2870853284081132,"score_spread":0.2751041447228266,"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."}}