{"id":"W7052558210","doi":"","title":"Sinclair evenaart én verbetert doelpuntenrecord namens Canada","year":2020,"lang":"nl","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"","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":[0.0001124979,0.0006861607,0.0007578442,0.00006179373,0.0001417531,0.00009880395,0.0006225507,0.0004666223,0.2746793],"category_scores_gemma":[0.0002175315,0.0007641217,0.0002269321,0.0000213292,0.0001000167,3.023262e-7,0.0001526406,0.0006222399,0.041205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332892,"about_ca_system_score_gemma":0.000247212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4252214,"about_ca_topic_score_gemma":0.3645838,"domain_scores_codex":[0.9972304,0.00004695774,0.001152789,0.000350163,0.000617825,0.0006018326],"domain_scores_gemma":[0.9980131,0.0003327275,0.0005122462,0.0005558481,0.0001822168,0.0004038602],"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":[0.00002874472,0.0000392287,0.000003615904,0.0007587959,0.0001929977,0.0000543072,0.00008150909,0.006521994,0.000002637499,0.00006760797,0.9907708,0.001477762],"study_design_scores_gemma":[0.0005050357,0.0001208598,0.00002326322,0.0004017355,0.0001387453,0.00005448027,0.0001091054,0.002030223,0.00007124804,0.00001122385,0.9957887,0.0007454088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004268487,0.0002348389,0.000002500647,0.00143531,0.0009199929,0.0006913181,0.001639368,0.0001836742,0.9944661],"genre_scores_gemma":[0.01026235,0.0006809043,0.001446485,0.0008313724,0.0003548283,0.0000583985,0.000657395,0.0001890575,0.9855192],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2334743,"threshold_uncertainty_score":0.999481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004413545421174841,"score_gpt":0.1587107310856114,"score_spread":0.1542971856644366,"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."}}