{"id":"W7019137293","doi":"","title":"2019 06 17 François Bergeron de L'express de Toronto","year":2019,"lang":"fr","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":"Context (archaeology); Field (mathematics); Power (physics); Urban planning","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":[0.000542379,0.0009621204,0.0004901528,0.0009094948,0.003172589,0.004852393,0.0006589812,0.001983028,0.840197],"category_scores_gemma":[0.001522707,0.0004626971,0.0003552425,0.001182548,0.0007336257,0.001381155,0.002146343,0.001706654,0.7242173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004965419,"about_ca_system_score_gemma":0.00795064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2750896,"about_ca_topic_score_gemma":0.57353,"domain_scores_codex":[0.9993099,0.00003517622,0.00001940878,0.0001123772,0.0003160331,0.0002070592],"domain_scores_gemma":[0.9980799,0.0000680935,0.00005245955,0.0001305147,0.0007880336,0.0008810606],"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":[0.00001579028,0.000005599697,0.0001184192,0.00002265437,7.95663e-7,0.00003565831,0.00003434289,0.00001275838,0.0001169184,0.00128557,0.9870407,0.01131079],"study_design_scores_gemma":[0.000001529377,0.000002818449,0.0003006769,0.00001365775,4.272577e-7,0.00001276829,0.00003479403,0.000006926613,0.00003169328,0.0000372148,0.9995555,0.000002028063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004427885,0.0008788568,0.0002153797,0.002667407,0.002193028,0.00005232534,0.004123192,0.0006874786,0.9887395],"genre_scores_gemma":[0.0005213091,0.0001436977,0.00003656438,0.0001308138,0.00004833343,0.000005342755,0.0004163769,0.0001246162,0.9985729],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2750896,"threshold_uncertainty_score":0.5469768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004451852686893198,"score_gpt":0.1888218631974033,"score_spread":0.1843700105105101,"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."}}