{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001132016,0.0007605453,0.0004916101,0.001115867,0.003306873,0.006267431,0.001145491,0.002388233,0.7648442],"category_scores_gemma":[0.003453624,0.0004652481,0.0006278136,0.0007414479,0.0006904964,0.002343197,0.002640752,0.002768645,0.6664174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990573,"about_ca_system_score_gemma":0.003786251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05016826,"about_ca_topic_score_gemma":0.1561816,"domain_scores_codex":[0.9990985,0.00004987768,0.00002669968,0.0000849793,0.0005223212,0.0002175109],"domain_scores_gemma":[0.9973231,0.0001171711,0.00004842759,0.0002502229,0.001658818,0.0006022476],"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":[0.0000271768,0.00001029954,0.00005924299,0.00003112142,0.000001009414,0.00003633358,0.00003091111,0.00001282909,0.0001316998,0.001020644,0.9885106,0.01012807],"study_design_scores_gemma":[0.000002770731,0.000005631533,0.0001975582,0.00001995635,5.022731e-7,0.00001140224,0.00004035731,0.000006864908,0.00005608966,0.00008800232,0.999568,0.000002739266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004175601,0.000535851,0.000546879,0.002549276,0.01489859,0.0001965281,0.003979415,0.001861268,0.9750146],"genre_scores_gemma":[0.0006054272,0.00008151175,0.00006484909,0.0003005359,0.0002089519,0.00002328095,0.0005070285,0.0003476341,0.9978606],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2351558,"threshold_uncertainty_score":0.3354212,"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."}}