{"id":"W7099055360","doi":"","title":"PERSONAL COOLING GARMENT PERFORMANCE: A PARAMETRIC STUDY","year":2014,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parametric statistics; Water cooling; Weapon system","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":[0.0005762368,0.0006390918,0.0004478067,0.0004801972,0.0002921147,0.000490436,0.0009222904,0.0005315702,0.003676028],"category_scores_gemma":[0.00143757,0.0002314683,0.0003577092,0.000374145,0.0006549828,0.0005747719,0.0005732173,0.0002777141,0.0004606808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002722213,"about_ca_system_score_gemma":0.0001952163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008139966,"about_ca_topic_score_gemma":0.0006074101,"domain_scores_codex":[0.9996169,0.00006372119,0.00001048336,0.00005700894,0.0001498486,0.0001020388],"domain_scores_gemma":[0.999064,0.0004548414,0.0001069195,0.0001959264,0.0001302342,0.00004796414],"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":[0.005510435,0.00167794,0.02582338,0.001007672,0.0001630476,0.001322131,0.001640111,0.3123488,0.5205161,0.002369914,0.005261828,0.1223587],"study_design_scores_gemma":[0.000227655,0.01307939,0.06615156,0.0001788743,0.0002951801,0.001098582,0.0009352809,0.5340279,0.3727596,0.00118964,0.009840308,0.0002159939],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909616,0.0002118319,0.005115152,0.00004866121,0.00002044719,0.00003677705,0.0001381849,0.0001781933,0.003289135],"genre_scores_gemma":[0.9981546,0.00006939546,0.0006480123,0.000005073393,0.000003414562,0.00001536662,0.00003020223,0.00001732257,0.001056526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003676028,"threshold_uncertainty_score":0.01229751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01657706092628021,"score_gpt":0.2244665374405012,"score_spread":0.207889476514221,"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."}}