{"id":"W1008690","doi":"","title":"Озонобезопасные фреоны. История легенды и простое решение","year":2014,"lang":"ru","type":"article","venue":"Пространство и Время","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":["insufficient_payload"],"category_scores_codex":[0.001599902,0.001080695,0.001228168,0.00008695935,0.00100821,0.0005436839,0.001416633,0.0007027896,0.03956779],"category_scores_gemma":[0.0003326046,0.0009772778,0.0005482201,0.001054167,0.0005349257,0.0008100584,0.0001749816,0.001018443,0.03014711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004395761,"about_ca_system_score_gemma":0.0003118058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004867787,"about_ca_topic_score_gemma":0.002611084,"domain_scores_codex":[0.9929532,0.0006037717,0.001331694,0.001573742,0.001237551,0.002300062],"domain_scores_gemma":[0.9959493,0.000633924,0.0006150257,0.001538584,0.0001820868,0.001081134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005068943,0.0005184452,0.377518,0.0005865225,0.0004772532,0.0001762113,0.002344191,0.00307543,0.0003410155,0.003654455,0.1225988,0.4882028],"study_design_scores_gemma":[0.001799296,0.001219191,0.1260719,0.0002252413,0.000309359,0.00008097202,0.001130892,0.03805431,0.0003774172,0.002640045,0.8262162,0.001875209],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5230445,0.006942695,0.00130028,0.004009953,0.008112685,0.00111269,0.0004099119,0.0006872765,0.45438],"genre_scores_gemma":[0.9564142,0.0017829,0.002555608,0.003755767,0.002741299,0.00001375081,0.0003747804,0.00008614625,0.03227556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7036175,"threshold_uncertainty_score":0.9992678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000125155457465,"score_gpt":0.198573963285906,"score_spread":0.1885727117313314,"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."}}