{"id":"W7011225455","doi":"","title":"Los Refrigerantes y los aportes de los científicos Rowland y Molina","year":2020,"lang":"en","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanity; Ozone layer; Work (physics); Transcendental number","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"],"consensus_categories":[],"category_scores_codex":[0.0003517015,0.000279668,0.0003350922,0.0003074746,0.0003145618,0.0002039386,0.002256339,0.0002584523,0.00005581576],"category_scores_gemma":[0.0002654162,0.0003180132,0.0001537,0.0009096047,0.0002985372,0.0004785296,0.0006235683,0.0004659264,0.0001247543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002575786,"about_ca_system_score_gemma":0.0002894418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003783006,"about_ca_topic_score_gemma":0.00001657838,"domain_scores_codex":[0.9979272,0.0001890678,0.000216922,0.0006591519,0.0003811247,0.000626475],"domain_scores_gemma":[0.998409,0.0003067515,0.0001830503,0.0007283167,0.00008567732,0.0002871525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002387695,0.000854353,0.01839491,0.0004687305,0.0003738897,0.006412405,0.02901266,0.004783073,0.04382563,0.4590437,0.354093,0.08249894],"study_design_scores_gemma":[0.003923231,0.001005628,0.01909026,0.0003318861,0.0001378271,0.0003587223,0.00123923,0.4340072,0.01631028,0.0297788,0.49138,0.00243697],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5387768,0.0006355111,0.4255658,0.008054528,0.0003636999,0.0003891855,0.00003262106,0.002920924,0.02326086],"genre_scores_gemma":[0.9545991,0.00003250472,0.04406096,0.0008064089,0.0001239337,0.000004384279,0.000006024397,0.0000270392,0.0003396484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4292649,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252143531700768,"score_gpt":0.235958886865343,"score_spread":0.2234374515483353,"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."}}