{"id":"W7067571527","doi":"","title":"Montreal Metro - Lasalle Station and Train Arrivals and Departures","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Train; Invariance principle; Stability (learning theory); Channel (broadcasting)","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":[0.0003776359,0.0004180231,0.0002419245,0.002293475,0.002996375,0.002777152,0.0008148514,0.000601514,0.1563493],"category_scores_gemma":[0.002562051,0.0002725431,0.0002801185,0.005622636,0.0004756212,0.001260526,0.001369119,0.001271168,0.01684833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01126923,"about_ca_system_score_gemma":0.01133864,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9408512,"about_ca_topic_score_gemma":0.9798146,"domain_scores_codex":[0.9994764,0.00004722002,0.00001235653,0.0000685415,0.0002100741,0.000185492],"domain_scores_gemma":[0.9983576,0.00009743826,0.0001783079,0.00004260129,0.0005958583,0.0007281872],"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":[0.0001324932,0.00006577877,0.08894067,0.0001582884,0.00003404256,0.0001997534,0.002073767,0.0002475731,0.0001383315,0.004411455,0.8632517,0.04034601],"study_design_scores_gemma":[0.00001545834,0.00003640162,0.4917653,0.0002301211,0.00001974537,0.00006985668,0.007271341,0.0002249198,0.00006868385,0.0002455066,0.5000095,0.00004321439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1090102,0.006219135,0.0008664781,0.01407411,0.001847471,0.0002670566,0.3035491,0.0006570541,0.5635094],"genre_scores_gemma":[0.3541405,0.005903807,0.0009235425,0.001504189,0.0006863538,0.000257055,0.08269517,0.0004097945,0.5534797],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9408512,"threshold_uncertainty_score":0.5230405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005615620309143884,"score_gpt":0.2091872849994942,"score_spread":0.2035716646903503,"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."}}