{"id":"W7019766469","doi":"","title":"Informed Traveler SEG 2 (July 2/17) Via Rail's: Canadian","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Field (mathematics)","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":[0.0006520744,0.0006735515,0.0003810218,0.0009284194,0.007155996,0.004108669,0.0008872143,0.002596145,0.75777],"category_scores_gemma":[0.003088068,0.0004052296,0.0003617405,0.001478409,0.000553147,0.00151645,0.002365075,0.002034659,0.4647422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005980784,"about_ca_system_score_gemma":0.01842806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7152961,"about_ca_topic_score_gemma":0.9077442,"domain_scores_codex":[0.9993006,0.00003096701,0.00001307867,0.00005149602,0.0003290669,0.0002747808],"domain_scores_gemma":[0.9976128,0.00009072735,0.00003127038,0.00008650273,0.001497699,0.0006808953],"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":[0.000006751611,0.000003738239,0.0000660092,0.00001232826,3.348905e-7,0.00001481455,0.00004303579,0.000007462092,0.00002371873,0.0003161861,0.9949819,0.004523535],"study_design_scores_gemma":[0.000002872863,0.000002365736,0.0003784811,0.000022608,6.006109e-7,0.000007566726,0.0001560845,0.00001504221,0.00003145286,0.00006384569,0.9993145,0.000004640673],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007967852,0.0004364389,0.0003414747,0.004777291,0.001542662,0.0002051823,0.01264544,0.001378497,0.9778762],"genre_scores_gemma":[0.002405256,0.0002647078,0.0001730641,0.001095338,0.00008007909,0.0000379923,0.002214264,0.0003483583,0.993381],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7152961,"threshold_uncertainty_score":0.5727611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007926924541635572,"score_gpt":0.1976674203327831,"score_spread":0.1897404957911475,"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."}}