{"id":"W2804001075","doi":"10.5539/ibr.v11n6p139","title":"Hypothesis Testing for the Questionnaire Investigation on the Needs at Fuji City","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Urban and spatial planning","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Null hypothesis; Plan (archaeology); Order (exchange); Test (biology); Null (SQL); Advertising; Marketing; Geography; Psychology; Business; Computer science; Archaeology; Statistics; Mathematics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001205754,0.0000731254,0.00004560053,0.00007005865,0.0008812528,0.0001224237,0.0005443537,0.00003709138,0.001008281],"category_scores_gemma":[0.005568319,0.00004137416,0.00002252922,0.0006229515,0.0006602137,0.0001292832,0.0002523591,0.0001433825,0.0006269498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002798707,"about_ca_system_score_gemma":0.00002477181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602254,"about_ca_topic_score_gemma":0.0004769087,"domain_scores_codex":[0.9986548,0.00008258241,0.0001222135,0.0001766413,0.0007548607,0.0002089383],"domain_scores_gemma":[0.997088,0.002365909,0.00004545825,0.0001951542,0.0002661925,0.00003924614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002473272,0.00007361054,0.8195372,0.00000958355,0.00004511222,0.000003239414,0.001361925,0.001494235,0.02814059,0.002362654,0.1094381,0.03728651],"study_design_scores_gemma":[0.0001199584,0.00005592544,0.9601597,0.00005422308,0.000003100816,0.00000410396,0.00006856294,0.01368956,0.003295152,0.005143211,0.01732938,0.00007719004],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948682,0.00001165586,0.0009444035,0.02927775,0.0003365483,0.0003873351,0.00001061626,0.00003124366,0.02031842],"genre_scores_gemma":[0.9945294,0.000002549396,0.0003213363,0.0006188736,0.0005334278,0.00009092125,0.000003888682,0.00001005335,0.003889525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1406225,"threshold_uncertainty_score":0.9999049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.219086836750243,"score_gpt":0.3385321882919981,"score_spread":0.1194453515417551,"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."}}