{"id":"W357019876","doi":"","title":"Green Solvents for Precision Cleaning","year":2013,"lang":"en","type":"article","venue":"NASA STI Repository (National Aeronautics and Space Administration)","topic":"Chemical and Environmental Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmentally friendly; Aerospace; Waste management; Flammable liquid; Environmental science; Process engineering; Solvent; Materials science; Chemistry; Engineering; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001125161,0.00009846701,0.00008160235,0.000034691,0.0001920389,0.0001889435,0.0001960732,0.0000590176,0.0000122476],"category_scores_gemma":[0.00004691297,0.00009214165,0.00003672736,0.00007060215,0.00004176036,0.0003490382,0.000102225,0.00008614983,0.00001527288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006569538,"about_ca_system_score_gemma":0.0000583706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000137368,"about_ca_topic_score_gemma":0.000001806347,"domain_scores_codex":[0.9989726,0.000009766582,0.0001728271,0.0002607933,0.000421332,0.0001627009],"domain_scores_gemma":[0.9994509,0.0001553356,0.00004544358,0.0001254145,0.00009771222,0.000125205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001204516,0.001065674,0.01215903,0.0003808851,0.0002009633,0.00002421139,0.0005951726,0.002946692,0.4334826,0.4625098,0.01082969,0.07568485],"study_design_scores_gemma":[0.001502944,0.000948531,0.2576469,0.00008981522,0.00001813424,0.0001517743,0.00004865712,0.6245691,0.05194214,0.03959831,0.0227176,0.0007661433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6425924,0.000177444,0.3433191,0.007120478,0.0004010272,0.000814657,0.00001388888,0.0001509499,0.005410115],"genre_scores_gemma":[0.9688344,0.000007250299,0.02828923,0.00006989894,0.00008953387,0.00005812754,0.00001581326,0.000006959535,0.0026288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6216224,"threshold_uncertainty_score":0.3757427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01482375955235686,"score_gpt":0.2462292833614418,"score_spread":0.2314055238090849,"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."}}