{"id":"W7028826168","doi":"","title":"Montreal18","year":2018,"lang":"en","type":"article","venue":"Data Archiving and Networked Services (DANS)","topic":"Railway Systems and Energy Efficiency","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (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":[],"consensus_categories":[],"category_scores_codex":[0.0005190221,0.001123391,0.0005639752,0.002214725,0.00286388,0.004864859,0.001373644,0.001545706,0.7369918],"category_scores_gemma":[0.001263372,0.0004849022,0.0005236798,0.002704907,0.0007926116,0.001254219,0.001611189,0.001398242,0.4659133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004042005,"about_ca_system_score_gemma":0.004301842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1650215,"about_ca_topic_score_gemma":0.3451476,"domain_scores_codex":[0.9992512,0.00006863593,0.00002440275,0.0002078564,0.0003154045,0.0001324213],"domain_scores_gemma":[0.9993369,0.00005992907,0.00002474551,0.000117455,0.0003438129,0.0001171175],"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":[0.00007258415,0.00005109446,0.0008367636,0.0001354611,0.00001256628,0.0002133761,0.000204004,0.0002885124,0.001160662,0.04959675,0.774066,0.1733622],"study_design_scores_gemma":[0.000004083084,0.000004390497,0.0005462492,0.00002520478,0.000001946149,0.00004234254,0.00004226492,0.00004108961,0.0001988899,0.0006808435,0.9984079,0.000004700793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009156086,0.001483004,0.001675404,0.001135708,0.000751815,0.00005886157,0.006320315,0.0007467825,0.9869125],"genre_scores_gemma":[0.002192796,0.0004846315,0.0006792608,0.0001208494,0.00004333994,0.00002103987,0.001255067,0.000168592,0.9950346],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7369918,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008560012381800507,"score_gpt":0.1993769661437227,"score_spread":0.1908169537619221,"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."}}