{"id":"W2953605614","doi":"10.32014/2019.2224-526x.29","title":"MONITORING OF EMISSIONS OF HARMFUL GASES OF INDUSTRIAL OF THE REPUBLIC OF KAZAKHSTAN","year":2019,"lang":"sr","type":"article","venue":"Izvestiâ Nacionalʹnoj akademii nauk Respubliki Kazahstan","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Environmental science; Environmental protection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000238154,0.000202595,0.0001698081,0.0009687837,0.0005916424,0.0004905307,0.0002332435,0.000282536,0.0004226195],"category_scores_gemma":[0.0002128092,0.00007489677,0.0001638941,0.001121943,0.0001170854,0.0001827219,0.000224521,0.0001587974,0.0001608716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004135344,"about_ca_system_score_gemma":0.0005667881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02064389,"about_ca_topic_score_gemma":0.03160847,"domain_scores_codex":[0.9997048,0.00005740492,0.00001940572,0.00005266063,0.0001128619,0.00005288712],"domain_scores_gemma":[0.9998122,0.0000229419,0.00004379376,0.00001340716,0.00009763933,0.00001017596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000345416,0.0001029449,0.8288515,0.0002488109,0.0001481555,0.0002579842,0.001065014,0.002781824,0.1084584,0.0006911457,0.001328369,0.05572044],"study_design_scores_gemma":[0.000007126604,0.0001328741,0.9386674,0.0000291555,0.0000705217,0.0002568584,0.001053793,0.002848326,0.04920558,0.0002339318,0.007478899,0.00001553556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931781,0.0005346424,0.001002503,0.00006144087,0.00001067574,0.00001380393,0.001208002,0.00006640625,0.00392451],"genre_scores_gemma":[0.9978657,0.0002339825,0.0006390099,0.00001899131,0.000004380746,0.000007782209,0.0005146965,0.000004364274,0.0007109381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02064389,"threshold_uncertainty_score":0.04104745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03971412328671534,"score_gpt":0.265574729558369,"score_spread":0.2258606062716536,"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."}}