{"id":"W7051550350","doi":"","title":"20070322 - The 5 O'Clock Train - Canada / US Integration","year":2007,"lang":"en","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":"Government (linguistics); System integration; Work (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008878307,0.0006752177,0.0003614486,0.001060659,0.004920558,0.004586876,0.0009272259,0.003626843,0.460977],"category_scores_gemma":[0.001287778,0.0004643316,0.0004982608,0.001147459,0.0006662558,0.0009617854,0.001224201,0.002659649,0.2301564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007265178,"about_ca_system_score_gemma":0.0209736,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.701697,"about_ca_topic_score_gemma":0.8970819,"domain_scores_codex":[0.9993249,0.00002197284,0.00001165007,0.00004571508,0.0003891063,0.0002066212],"domain_scores_gemma":[0.9989254,0.00003628725,0.00001698666,0.00004530471,0.0006781894,0.0002977471],"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":[0.00001457987,0.00001099677,0.0001004544,0.0000136607,9.081207e-7,0.0000251253,0.00002782447,0.00002598579,0.0001686284,0.0007732856,0.9912255,0.007613137],"study_design_scores_gemma":[0.000006010338,0.000005517421,0.0009325246,0.00001749517,0.000001319055,0.00001036454,0.00009326983,0.00003827527,0.0001358555,0.0001371218,0.9986156,0.000006653161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001034068,0.0004345817,0.001059851,0.006829573,0.003609102,0.0003254082,0.008436618,0.002425795,0.9758449],"genre_scores_gemma":[0.002043024,0.0001779282,0.0006136388,0.001810416,0.0000982725,0.00004658189,0.001998869,0.0004654723,0.9927459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.460977,"threshold_uncertainty_score":0.7688509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003708416036984385,"score_gpt":0.1594207190359395,"score_spread":0.1557123029989551,"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."}}