{"id":"W4414611809","doi":"10.64000/ajybg-knt43","title":"Join us in Toronto this November for LIVE18","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Economic and Financial Impacts of Cancer","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Join (topology); Government (linguistics)","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":[0.001411452,0.001611246,0.001288104,0.001939766,0.00729035,0.007817668,0.001266663,0.004440381,0.7478946],"category_scores_gemma":[0.005813122,0.0006255601,0.001130473,0.001655257,0.0009961866,0.003569208,0.00606768,0.005379792,0.5282381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004815679,"about_ca_system_score_gemma":0.005976176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09573632,"about_ca_topic_score_gemma":0.3327412,"domain_scores_codex":[0.9987613,0.00008701708,0.00003283103,0.0001404608,0.0005601802,0.0004181766],"domain_scores_gemma":[0.9936352,0.0002175143,0.000153026,0.0002399934,0.002181909,0.003572393],"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":[0.0000081547,0.000003855205,0.00005266504,0.00000820133,9.389623e-7,0.00001669813,0.00001392573,0.000004299291,0.0000115704,0.0001147023,0.9978966,0.001868316],"study_design_scores_gemma":[0.000006141914,0.000008252727,0.0004569998,0.00003308318,0.000001766523,0.000008147554,0.0002103541,0.00001270064,0.00001891976,0.0001716679,0.9990656,0.000006502192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002112568,0.006718095,0.00125631,0.1268335,0.1941395,0.0004823279,0.02656456,0.004645862,0.6372473],"genre_scores_gemma":[0.001371115,0.0006733241,0.0002138329,0.004537573,0.004974646,0.00007014806,0.002002253,0.000966598,0.9851905],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9042637,"threshold_uncertainty_score":0.3595977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331822575819239,"score_gpt":0.2703049336557704,"score_spread":0.226986707897578,"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."}}