{"id":"W7407715","doi":"10.1139/m80-063","title":"한국과 대만 소비자의 기술준비도 수준과 모바일데이터서비스 이용에 관한 연구","year":2007,"lang":"en","type":"dissertation","venue":"Canadian Journal of Microbiology","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.00005011992,0.00009989544,0.00007123842,0.0005238518,0.0005374654,0.0005485244,0.00009476694,0.0001022745,0.001618524],"category_scores_gemma":[0.0001919819,0.0000927807,0.00006762448,0.0006533973,0.0002337722,0.0001498448,0.0001844431,0.0001256169,0.0003601654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358706,"about_ca_system_score_gemma":0.000970828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3825421,"about_ca_topic_score_gemma":0.6578505,"domain_scores_codex":[0.9999347,0.000002705114,0.000003604891,0.00001944894,0.0000217708,0.00001782685],"domain_scores_gemma":[0.9998976,0.000007433267,0.00001544915,0.000003223731,0.00004836059,0.00002790059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002927767,0.00002813106,0.896971,0.00007505344,0.00003690659,0.0001218801,0.0009737213,0.0001802471,0.05026488,0.000132873,0.00053402,0.05038858],"study_design_scores_gemma":[7.892087e-7,0.00001500491,0.9976156,0.000002370569,0.000004373695,0.00002966617,0.0003465819,0.00004966391,0.001211341,0.00001997836,0.0007027477,0.000001996143],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971021,0.000141526,0.00003849662,0.00002277734,0.000001370555,0.000003901184,0.0005624435,0.000002730617,0.002124556],"genre_scores_gemma":[0.9913031,0.0002851149,0.0003248758,0.0000131967,0.000001624593,0.000007620189,0.001248174,0.000002160701,0.006814211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3825421,"threshold_uncertainty_score":0.7606309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007131494233321726,"score_gpt":0.1978874469923451,"score_spread":0.1907559527590234,"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."}}