{"id":"W3157171838","doi":"10.52716/jprs.v9i1.269","title":"التحليل الكمي للمجاميع العضوية باستخدام تقنية الاشعة تحت الحمراء","year":2019,"lang":"ar","type":"article","venue":"Journal of Petroleum Research and Studies","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"","keywords":"Xylene; Chemistry; m-Xylene; Nuclear chemistry; Medicinal chemistry; Organic chemistry; Toluene","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001994351,0.0003258656,0.0007467487,0.0001473415,0.0003303409,0.0001268159,0.0005594037,0.0001667379,0.0009427528],"category_scores_gemma":[0.0005750391,0.0002536763,0.0002128559,0.0003683346,0.0007985885,0.0003669103,0.0008234337,0.001621964,0.0004663302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004512188,"about_ca_system_score_gemma":0.00006754831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003116392,"about_ca_topic_score_gemma":0.000007086872,"domain_scores_codex":[0.9961796,0.0001072447,0.0007002892,0.0004191597,0.001593362,0.001000368],"domain_scores_gemma":[0.9980915,0.0006132033,0.0002294043,0.0003143324,0.0002029101,0.0005486643],"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":[0.00101495,0.0008686231,0.03893391,0.001685001,0.001561759,0.0006669106,0.003882237,0.002186994,0.8945243,0.0003336437,0.04736462,0.006977021],"study_design_scores_gemma":[0.01408751,0.01105888,0.04646904,0.005183434,0.0004997269,0.001824495,0.07180679,0.007376046,0.3915184,0.006765454,0.4401751,0.003235032],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958978,0.02705648,0.00001301053,0.002224008,0.0003936436,0.0001009162,0.00001491296,0.00001034514,0.0112087],"genre_scores_gemma":[0.9716566,0.01659524,0.000158353,0.00004580584,0.0005591972,0.000003984884,9.326586e-7,0.00002496085,0.0109549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5030059,"threshold_uncertainty_score":0.9999915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05655120746955129,"score_gpt":0.3575391064452651,"score_spread":0.3009878989757138,"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."}}