{"id":"W4246270077","doi":"10.3136/nskkk.48.539","title":"","year":2001,"lang":"ja","type":"article","venue":"Nippon Shokuhin Kagaku Kogaku Kaishi","topic":"","field":"","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computer science","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":["metaresearch","metaepi_narrow","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"category_scores_codex":[0.01734116,0.01108576,0.01038659,0.006573701,0.006297088,0.008439613,0.01510059,0.006838094,0.01458838],"category_scores_gemma":[0.009341576,0.01293104,0.004629669,0.02228452,0.005681884,0.01566082,0.006317622,0.0113695,0.09138817],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007833807,"about_ca_system_score_gemma":0.003373504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006416507,"about_ca_topic_score_gemma":0.008346206,"domain_scores_codex":[0.9318204,0.009006803,0.01187953,0.01399035,0.01402746,0.01927548],"domain_scores_gemma":[0.9567075,0.004887661,0.006496569,0.01625129,0.00490663,0.01075029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02630326,0.01765063,0.2901722,0.001367357,0.005164022,0.03221982,0.04766391,0.005511596,0.3699233,0.00482722,0.1626771,0.03651955],"study_design_scores_gemma":[0.03872431,0.006073023,0.1980057,0.003098114,0.005057644,0.01019944,0.02436312,0.007363794,0.03204535,0.003096751,0.6531807,0.01879208],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9043167,0.01436655,0.0006694201,0.01442845,0.01083669,0.009522826,0.003457255,0.008305631,0.03409649],"genre_scores_gemma":[0.9444095,0.004763198,0.004705445,0.008769516,0.009573919,0.001182309,0.001775736,0.005263819,0.01955654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4905036,"threshold_uncertainty_score":0.9990032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03424384821229892,"score_gpt":0.2858950927822666,"score_spread":0.2516512445699677,"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."}}