{"id":"W3186920931","doi":"","title":"三成分系メタン+水+メタノールの露点 測定および相関","year":2000,"lang":"ja","type":"article","venue":"Canadian Journal of Chemistry","topic":"Military Technology and Strategies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001756697,0.0002580881,0.0003641603,0.000100358,0.000127697,0.00005553697,0.0005716331,0.0005010926,0.02354872],"category_scores_gemma":[0.0000524925,0.0002875942,0.0001947254,0.0002005511,0.0002437763,0.0001815506,0.000004649774,0.001059469,0.0001515802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002293879,"about_ca_system_score_gemma":0.001075058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008069828,"about_ca_topic_score_gemma":0.001695509,"domain_scores_codex":[0.9986125,0.00001462986,0.000539112,0.0001424637,0.0001306672,0.0005605965],"domain_scores_gemma":[0.9986562,0.0000298369,0.00008206799,0.0003173931,0.00008996524,0.0008245673],"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":[0.0003731998,0.0002381417,0.009613248,0.004696975,0.004587792,0.03714425,0.01587322,0.05144047,0.09481432,0.003362217,0.5216233,0.2562329],"study_design_scores_gemma":[0.003114871,0.0003290832,0.004325071,0.002012313,0.0004394491,0.01086829,0.006530921,0.001230221,0.08943761,0.01707892,0.862143,0.002490281],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6768298,0.01837326,0.000009076692,0.0007025675,0.0003598946,0.00003136446,0.00005560261,0.0000278446,0.3036106],"genre_scores_gemma":[0.9919395,0.0007789296,0.0001462867,0.00006860003,0.0005093652,7.417993e-7,0.000005224354,0.00003203162,0.006519297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3405197,"threshold_uncertainty_score":0.9999576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004772619962283786,"score_gpt":0.1695678342285253,"score_spread":0.1647952142662415,"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."}}