{"id":"W7132676410","doi":"","title":"How Oatly Carved Out a Market for Plant-based Drinks in China","year":2023,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"China; Consumption (sociology); Product (mathematics); Clothing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001733395,0.002299912,0.002233498,0.002917717,0.001502577,0.0008438356,0.001753191,0.002816027,0.0004631399],"category_scores_gemma":[0.002080926,0.002596085,0.001481234,0.001150078,0.002520234,0.0006818164,0.0003470164,0.002200649,0.002005597],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006602056,"about_ca_system_score_gemma":0.01009668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006238601,"about_ca_topic_score_gemma":0.004547953,"domain_scores_codex":[0.9891941,0.0007160097,0.001982206,0.003321158,0.00256102,0.002225535],"domain_scores_gemma":[0.9940769,0.0008245645,0.001777876,0.002040874,0.0004631963,0.0008165902],"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":[0.01301643,0.004663067,0.01714439,0.006499495,0.003072247,0.01515816,0.001076151,0.009246404,0.01870416,0.02210874,0.8859403,0.003370444],"study_design_scores_gemma":[0.007970832,0.0003381532,0.0346579,0.006176183,0.0005295783,0.0002611795,0.0000942621,0.008731459,0.001493393,0.0002007601,0.9365928,0.002953482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005826894,0.004628045,0.003416153,0.0006099365,0.06063031,0.01126361,0.01455941,0.002816361,0.8962493],"genre_scores_gemma":[0.1993951,0.0001253954,0.0018171,0.0001680348,0.00849105,0.003793264,0.002434031,0.004314256,0.7794618],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1935682,"threshold_uncertainty_score":0.9997973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02085638146585719,"score_gpt":0.2421483175393152,"score_spread":0.221291936073458,"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."}}