{"id":"W7051969726","doi":"","title":"Postcard: De Laval Separator Float","year":2021,"lang":"en","type":"article","venue":"FHSU Scholars Repository (Fort Hays State University)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Float (project management); Product line; Separator (oil production); Float glass; Front (military)","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":[0.00006062017,0.0001571379,0.0001569161,0.0001230687,0.0002765578,0.000118222,0.0002129131,0.00009214792,0.00001410223],"category_scores_gemma":[0.00002670212,0.0002053985,0.00009837838,0.0004029312,0.00003698514,0.0003099356,0.00007687093,0.0002987709,0.00007878055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862483,"about_ca_system_score_gemma":0.0001772862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002295473,"about_ca_topic_score_gemma":0.00003233807,"domain_scores_codex":[0.9991031,0.00003582742,0.0001412899,0.0002446216,0.0001548728,0.0003203445],"domain_scores_gemma":[0.9992133,0.00006333928,0.00003058416,0.000330868,0.0001321588,0.0002297942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006875057,0.0003987994,0.04459961,0.0001973977,0.0008668941,0.01309087,0.001286544,0.1460547,0.7286651,0.01620386,0.04633303,0.002234512],"study_design_scores_gemma":[0.0004973353,0.00002475484,0.006722092,0.00003925121,0.00009505416,0.0001741966,0.000258984,0.005579369,0.3790894,0.0001696265,0.6069158,0.0004340742],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394715,0.0001038298,0.001229451,0.00005267457,0.0003168235,0.00009323371,0.00008512205,0.0003016989,0.0583457],"genre_scores_gemma":[0.9885289,0.000344021,0.002356076,0.00005694888,0.00008046393,0.00000238337,0.00005355574,0.00003856829,0.008539066],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5605828,"threshold_uncertainty_score":0.8375907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003833707823083419,"score_gpt":0.1654358038413432,"score_spread":0.1616020960182598,"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."}}