{"id":"W7103276995","doi":"","title":"OPTIMIZATION OF CONVERGENT-DIVERGENT LAVAL NOZZLE TOPRODUCE NANO PARTICLES","year":2014,"lang":"en","type":"other","venue":"UTPedia (Universiti Teknologi Petronas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nucleation; Nozzle; Condensation; Drop (telecommunication); Heat transfer; Pressure drop; Work (physics)","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":[0.0002932283,0.0006605354,0.0008987399,0.001119395,0.0001221796,0.00002427222,0.0009610593,0.0007164393,0.02448357],"category_scores_gemma":[0.0001732744,0.0007455357,0.0003131741,0.0006854369,0.0005563494,0.0002122801,0.0004987189,0.0003507339,0.006715229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003368144,"about_ca_system_score_gemma":0.0002333346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005079936,"about_ca_topic_score_gemma":0.0002964574,"domain_scores_codex":[0.9967341,0.0002855007,0.0004096342,0.001042145,0.0007181244,0.0008104907],"domain_scores_gemma":[0.9973333,0.0000861142,0.0009653554,0.001138485,0.0002242852,0.0002524977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001462877,0.000355446,0.00449599,0.0001991897,0.0005014569,0.00008116067,0.0002530059,0.007316961,0.003700338,0.004274422,0.9781412,0.000534487],"study_design_scores_gemma":[0.003985179,0.0007990753,0.00102252,0.0003227266,0.001148468,0.00003092078,0.002052148,0.009052462,0.004743225,0.0001036724,0.9745666,0.002172939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08076137,0.004929286,0.01162189,0.001019778,0.00811708,0.003315696,0.004751137,0.006192649,0.8792911],"genre_scores_gemma":[0.1333852,0.001513283,0.015611,0.000109482,0.001307678,0.00002478428,0.001421164,0.001819085,0.8448083],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05262382,"threshold_uncertainty_score":0.9994996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342871907677022,"score_gpt":0.2130409756868094,"score_spread":0.1996122566100391,"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."}}