{"id":"W2467810161","doi":"","title":"Market channels for SWIMS products in Singapore and Hong Kong","year":2008,"lang":"en","type":"dissertation","venue":"Duo Research Archive (University of Oslo)","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007347512,0.0001925869,0.0003339531,0.001522092,0.000499789,0.0001163136,0.00035041,0.0001427362,0.00008966336],"category_scores_gemma":[0.0002964237,0.0002324069,0.00006236012,0.001180297,0.0002346453,0.001043496,0.0001739665,0.0004323632,0.000009230057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003921709,"about_ca_system_score_gemma":0.0001612459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002997268,"about_ca_topic_score_gemma":0.002620226,"domain_scores_codex":[0.9984105,0.00003238698,0.0001849555,0.0004899058,0.0004399111,0.0004423511],"domain_scores_gemma":[0.9984428,0.0001167302,0.0002473101,0.000216581,0.0009595862,0.0000169778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01355312,0.001659742,0.02394419,0.05060827,0.0005911053,0.0007475429,0.01518555,0.000176859,0.03059499,0.1713987,0.5227912,0.1687486],"study_design_scores_gemma":[0.005509512,0.0002552541,0.6402662,0.003198981,0.0001148036,0.000008814658,0.0666071,0.02716285,0.0002334486,0.05706628,0.1978855,0.001691252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.919328,0.0002541651,0.000448781,0.00193275,0.0004690227,0.001904668,0.00006098672,0.00005249148,0.07554915],"genre_scores_gemma":[0.980669,0.0009132993,0.001737619,0.00005080499,0.001018466,0.00001081743,0.004102138,0.00007522461,0.01142262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.616322,"threshold_uncertainty_score":0.9477277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909186156739376,"score_gpt":0.2631948657780237,"score_spread":0.2141030042106299,"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."}}