{"id":"W7056327164","doi":"","title":"Ep 38 - 2017-2018 Season Postmortem","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew; Postmortem Changes; Postmortem studies; Population","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":[0.0000991636,0.0003375575,0.0003288474,0.00006763469,0.00005062453,0.00004850379,0.0003437207,0.0004029204,0.421458],"category_scores_gemma":[0.00001992509,0.0003441664,0.0001256899,0.00001002599,0.0001035431,2.000455e-7,0.00004501894,0.0001799401,0.08721389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000052692,"about_ca_system_score_gemma":0.00001847321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006153735,"about_ca_topic_score_gemma":0.0004138697,"domain_scores_codex":[0.9987915,0.00002186149,0.0004461472,0.0001624484,0.0002856808,0.0002924034],"domain_scores_gemma":[0.9990441,0.0000393362,0.000203954,0.0004924653,0.00008166915,0.0001385326],"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":[0.000009086021,0.00001714719,6.678519e-7,0.0003477502,0.00006907435,0.000004779082,0.00004421028,0.0002033736,0.00000140744,0.00002885509,0.9988531,0.0004205458],"study_design_scores_gemma":[0.0002509703,0.000050643,0.000004761788,0.0001687754,0.00004575824,0.00003942961,0.00002280871,0.0002359934,0.00003235193,0.000008743877,0.9987788,0.0003609176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000161629,0.0002904662,0.000005818898,0.00006303584,0.000390789,0.0004067137,0.0003301021,0.0006754146,0.9978215],"genre_scores_gemma":[0.0002058347,0.0003038769,0.001305968,0.00009133607,0.0003804674,0.00003259601,0.0002946605,0.000196021,0.9971892],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3342441,"threshold_uncertainty_score":0.9999011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006838323598787209,"score_gpt":0.1792473350400947,"score_spread":0.1724090114413075,"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."}}