{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006053137,0.00109597,0.0006239842,0.001229555,0.0008165541,0.001144359,0.00048934,0.001262309,0.008381634],"category_scores_gemma":[0.0007745185,0.0004388071,0.0006822509,0.001162822,0.0006095021,0.001285488,0.001167411,0.001759919,0.005627719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069098,"about_ca_system_score_gemma":0.0005624504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006409431,"about_ca_topic_score_gemma":0.001481492,"domain_scores_codex":[0.9987389,0.0001529981,0.00004964252,0.0002045023,0.0007216166,0.0001323296],"domain_scores_gemma":[0.9994672,0.0001003733,0.0001145068,0.00009090068,0.000189227,0.00003779184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001781294,0.0001590612,0.0006892611,0.002315262,0.00005712061,0.0006880832,0.0002403859,0.002218344,0.7216428,0.0274582,0.02316202,0.2211913],"study_design_scores_gemma":[0.00001758596,0.0003416687,0.0006680253,0.0002462342,0.00002852521,0.0007931283,0.0001019933,0.001520611,0.658677,0.004341476,0.333212,0.00005155608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1369264,0.2546255,0.3748296,0.006807036,0.007195966,0.0011768,0.002780277,0.003615594,0.2120428],"genre_scores_gemma":[0.5312154,0.1204349,0.2222503,0.004314699,0.0009871605,0.0009069724,0.002381484,0.0008957679,0.1166132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008381634,"threshold_uncertainty_score":0.02803934,"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."}}