{"id":"W7056240023","doi":"","title":"Fluorocarbons and SF6. Global emission inventory and&#13;\\noptions for control","year":2007,"lang":"en","type":"other","venue":"Rivm (National Institute for Public Health and the Environment)","topic":"Thermal properties of materials","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Christian ministry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007364201,0.000824747,0.0002325589,0.001462868,0.0003418702,0.0009841768,0.0005966011,0.000579578,0.006443052],"category_scores_gemma":[0.0007536332,0.0002238371,0.0008554576,0.001850015,0.0002555438,0.0008298996,0.000318749,0.0003875269,0.001099542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003958568,"about_ca_system_score_gemma":0.00198109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1866775,"about_ca_topic_score_gemma":0.1500012,"domain_scores_codex":[0.9992574,0.00008110635,0.00004613039,0.0001244541,0.0003932656,0.00009777323],"domain_scores_gemma":[0.9994542,0.00009851523,0.0001321618,0.0000384031,0.0002436811,0.00003310561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00399781,0.0005418673,0.1389863,0.003293463,0.0004723257,0.0007272666,0.0004347953,0.1389711,0.08114739,0.01818526,0.05630992,0.5569326],"study_design_scores_gemma":[0.0002458942,0.001910369,0.2673288,0.0007392147,0.0006390432,0.0004199789,0.00145743,0.08594188,0.1693781,0.009579078,0.4620644,0.000295851],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5493689,0.01755148,0.04067268,0.003561346,0.0004803271,0.0008166815,0.17326,0.001888939,0.2123996],"genre_scores_gemma":[0.8799918,0.0083834,0.01841274,0.0003658577,0.0000471779,0.0002961882,0.05826277,0.000129648,0.03411044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1866775,"threshold_uncertainty_score":0.3711818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03636586092082286,"score_gpt":0.2760679995941639,"score_spread":0.2397021386733411,"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."}}