{"id":"W6986080939","doi":"","title":"Vancouver calls me","year":2017,"lang":"fr","type":"other","venue":"YorkSpace (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Perspective (graphical); Work (physics); Agency (philosophy); Field (mathematics); Set (abstract data type)","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":[0.000692745,0.001538942,0.0009050865,0.003248028,0.005240174,0.007184085,0.001478174,0.003727486,0.8663189],"category_scores_gemma":[0.004073324,0.0007798017,0.0009188009,0.001950314,0.001259818,0.002424662,0.003106005,0.003844176,0.7605469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003600858,"about_ca_system_score_gemma":0.006450006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1457426,"about_ca_topic_score_gemma":0.3602443,"domain_scores_codex":[0.9991805,0.00006994174,0.000020704,0.00009297996,0.0004036913,0.0002321784],"domain_scores_gemma":[0.9977526,0.0002240832,0.00005153485,0.0001919217,0.0007912108,0.0009886343],"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":[0.00001562424,0.00001449138,0.00008611487,0.00002054277,0.000001737558,0.00003146176,0.00002407995,0.00002305761,0.00002670326,0.002270382,0.9836458,0.01384003],"study_design_scores_gemma":[0.000007106821,0.000003386627,0.0001942758,0.00003830781,0.000001658502,0.00001949592,0.00005387445,0.0000318481,0.00003227362,0.0005053383,0.9991063,0.000006100314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000209901,0.0004602906,0.000203012,0.001794284,0.001189397,0.00004896733,0.003039823,0.00135531,0.9916989],"genre_scores_gemma":[0.0006739616,0.0001104977,0.00006197547,0.0003117709,0.00007430073,0.00001420145,0.0006457823,0.0003951695,0.9977123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8663189,"threshold_uncertainty_score":0.2897887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378343299386267,"score_gpt":0.1993981034616313,"score_spread":0.1856146704677686,"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."}}