{"id":"W2602175045","doi":"","title":"Chinese Smartphone Shipments Fierce Growing Competition","year":2016,"lang":"en","type":"article","venue":"中国对外贸易：英文版","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Competition (biology); Business; Advertising; Geography; Agricultural economics; Economics; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004575786,0.0004676451,0.0002707772,0.001871935,0.00210424,0.002942888,0.0004471937,0.0006377049,0.02972794],"category_scores_gemma":[0.001040153,0.0002070057,0.000427632,0.003541307,0.0008326814,0.001667473,0.00150619,0.001158154,0.003909073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002884978,"about_ca_system_score_gemma":0.00260934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0632828,"about_ca_topic_score_gemma":0.06559214,"domain_scores_codex":[0.9994405,0.00002687672,0.0000228097,0.00007941521,0.0002729095,0.0001575426],"domain_scores_gemma":[0.9993361,0.00008946412,0.0001257303,0.00004970058,0.0002212563,0.0001778894],"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":[0.0005060565,0.0002019357,0.1975437,0.0009235066,0.0001397739,0.008596857,0.01395013,0.001794154,0.01432715,0.05929123,0.4439091,0.2588164],"study_design_scores_gemma":[0.00003179132,0.000240732,0.4155369,0.00008925914,0.00006130001,0.001288874,0.0124869,0.002932399,0.002361563,0.001539808,0.5633173,0.000113263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7574397,0.002115093,0.0008619124,0.009128087,0.0007003143,0.00009303579,0.002527467,0.000371454,0.226763],"genre_scores_gemma":[0.8587198,0.003005316,0.0003587973,0.002802316,0.0004190931,0.00004440057,0.003048774,0.00006977228,0.1315316],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0632828,"threshold_uncertainty_score":0.1258289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315350104434748,"score_gpt":0.2353778369209299,"score_spread":0.2222243358765824,"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."}}