{"id":"W2506818644","doi":"10.2172/1244645","title":"Idaho National Laboratory Quarterly Occurrence Analysis","year":2015,"lang":"en","type":"report","venue":"","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Quality (philosophy); Operations research; Engineering; Geography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002722451,0.0005846875,0.0003785522,0.01027118,0.001201642,0.003061136,0.0009807111,0.0002877679,0.07511049],"category_scores_gemma":[0.01150728,0.000385946,0.0003429423,0.006636968,0.0002563112,0.0009545698,0.001049587,0.0007970568,0.03530267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003653169,"about_ca_system_score_gemma":0.008633654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08118012,"about_ca_topic_score_gemma":0.06468285,"domain_scores_codex":[0.9944462,0.0003266056,0.000353407,0.0003843399,0.004249046,0.0002403758],"domain_scores_gemma":[0.9812794,0.001552323,0.00162744,0.001280977,0.01381855,0.0004413376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006011274,0.0001408454,0.01539522,0.0001700384,0.0000144986,0.00004135599,0.0001159121,0.000306985,0.0003226011,0.003121709,0.931716,0.04859471],"study_design_scores_gemma":[0.00002218572,0.0000502548,0.06095953,0.0002131323,0.00002419591,0.00006948118,0.0007351281,0.0007851307,0.001494878,0.0007714439,0.9348469,0.00002783527],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01880023,0.0005576069,0.004312998,0.002670641,0.001382711,0.001236805,0.4799055,0.002455299,0.4886783],"genre_scores_gemma":[0.04774792,0.002619224,0.01274368,0.001223801,0.0005783552,0.001783676,0.5227978,0.001012723,0.4094928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08118012,"threshold_uncertainty_score":0.2512696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3666246829976845,"score_gpt":0.5412662426517934,"score_spread":0.1746415596541089,"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."}}