{"id":"W3109781480","doi":"10.18280/i2m.190505","title":"Design of an Automatic Detector for Gas Desorption of Coal Samples","year":2020,"lang":"en","type":"article","venue":"Instrumentation Mesure Métrologie","topic":"Coal Properties and Utilization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Detector; Desorption; Gas detector; Automation; Coal; Process engineering; Computer science; Process (computing); Environmental science; Engineering; Adsorption; Chemistry; Mechanical engineering; Waste management","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":[],"consensus_categories":[],"category_scores_codex":[0.0001347474,0.00008575732,0.0001559603,0.00003991668,0.00002182001,0.000009107684,0.00008287442,0.00005633982,0.00003383614],"category_scores_gemma":[0.00008114391,0.00007991916,0.00003594414,0.00008569574,0.00002702169,0.0001521894,0.000008786578,0.00003377519,0.000001202449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002199541,"about_ca_system_score_gemma":0.00001855772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007535563,"about_ca_topic_score_gemma":0.000004354122,"domain_scores_codex":[0.9993581,0.00005040263,0.0002882355,0.00009688675,0.0001036052,0.0001027529],"domain_scores_gemma":[0.9996838,0.00007259494,0.00007743496,0.00007838669,0.00005247044,0.00003531922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002337169,0.00003088497,0.001670672,0.0004813812,0.00006098132,2.767541e-7,0.0009647812,0.4869856,0.4075673,0.00008660757,0.0001242043,0.1017936],"study_design_scores_gemma":[0.0006045001,0.0005561123,0.002983934,0.00001165665,0.00003257014,5.85423e-7,0.0001828696,0.7632296,0.2319336,0.000354523,0.00003452786,0.00007548141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5992163,0.00003967863,0.400238,0.0000518274,0.00006107495,0.0002674528,0.00001704294,0.0001016401,0.00000693335],"genre_scores_gemma":[0.9748188,0.00002215789,0.02499853,0.00004102211,0.00002807244,0.00003161627,0.00004422818,0.0000149408,6.718366e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3756025,"threshold_uncertainty_score":0.3259009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07789560695290967,"score_gpt":0.2704511065202256,"score_spread":0.192555499567316,"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."}}