{"id":"W2909066347","doi":"10.2172/1164866","title":"Idaho National Laboratory Quarterly Performance Analysis - 3rd Quarter FY2014","year":2014,"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); National laboratory; Operations research; Engineering; Computer science; Geography; Engineering physics; Archaeology","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":["metaresearch","metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.03089785,0.000514515,0.001308625,0.003530892,0.0005319198,0.00121975,0.003603655,0.0006398958,0.007364582],"category_scores_gemma":[0.003888038,0.0003350897,0.0007659576,0.007092455,0.0007181593,0.001210695,0.0001550093,0.001234449,0.006948498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003692446,"about_ca_system_score_gemma":0.004123186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002977976,"about_ca_topic_score_gemma":0.0004528886,"domain_scores_codex":[0.9740834,0.0005798125,0.001997657,0.001810826,0.0206203,0.0009079831],"domain_scores_gemma":[0.9879068,0.001791763,0.001052505,0.001530363,0.007173008,0.0005455944],"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":[0.0000110777,0.00004105809,0.03123583,0.00002535474,0.0002345742,0.000006178222,0.0003265834,0.0001231437,0.00004633583,0.0003287058,0.9498989,0.01772227],"study_design_scores_gemma":[0.0001738388,0.0001860489,0.07573056,0.00002751416,0.0001249766,0.000009232756,0.00054407,0.01187684,0.00003703948,0.0018117,0.9088673,0.0006108945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06313935,0.0004320509,0.005985079,0.001666455,0.002396472,0.0004623524,0.0003732983,0.0001802656,0.9253647],"genre_scores_gemma":[0.853741,0.0002958239,0.0005660994,0.0007326039,0.002248009,0.00006045269,0.0001251987,0.00003577433,0.142195],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7906017,"threshold_uncertainty_score":0.9999101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.137180566777446,"score_gpt":0.4545777983061246,"score_spread":0.3173972315286786,"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."}}