{"id":"W7055577055","doi":"","title":"Could Calgary become a testing ground for autonomous cars?","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Key (lock)","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":[0.001348829,0.0008616873,0.0002888922,0.000641523,0.007190117,0.00607327,0.001311052,0.005329556,0.3781061],"category_scores_gemma":[0.001989161,0.0004757668,0.0003624095,0.0005224553,0.00178357,0.00492454,0.003974081,0.005289037,0.1477163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003405601,"about_ca_system_score_gemma":0.005463688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1527124,"about_ca_topic_score_gemma":0.3072042,"domain_scores_codex":[0.9992628,0.00004926417,0.00001006813,0.0001021159,0.0002505043,0.0003252509],"domain_scores_gemma":[0.9987357,0.00008181223,0.00002763253,0.00006660669,0.0003256186,0.0007626382],"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":[0.00003202165,0.00003684721,0.0002759627,0.00002580652,0.000001360906,0.00007458198,0.0001307253,0.00003063478,0.0001863125,0.004524364,0.97448,0.02020146],"study_design_scores_gemma":[0.000006900596,0.00001729111,0.0003383481,0.00003656571,0.000001035404,0.00001695819,0.0005484018,0.00002965328,0.0001515584,0.0008180278,0.9980286,0.000006659378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002884494,0.003548336,0.001428738,0.1141137,0.009035444,0.0001647548,0.001550267,0.001595522,0.8656788],"genre_scores_gemma":[0.009441517,0.00117127,0.0009688941,0.01261796,0.0002883534,0.00004521494,0.0006130959,0.000376742,0.974477],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8472876,"threshold_uncertainty_score":0.8870561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138042807247218,"score_gpt":0.2284592272870156,"score_spread":0.2146549465622938,"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."}}