{"id":"W6980222831","doi":"","title":"BFBS Canada : November 07, 2016 11:00AM-12:00PM CST","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Government (linguistics); Context (archaeology); Closure (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022501,0.0004980188,0.0005017779,0.0002089188,0.0001124035,0.00008604165,0.001332829,0.0005587103,0.3484819],"category_scores_gemma":[0.0001227217,0.0004362127,0.000122514,0.00001862937,0.0001852826,0.000001387408,0.000348059,0.0004305799,0.02893857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003175036,"about_ca_system_score_gemma":0.0003234707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2544139,"about_ca_topic_score_gemma":0.483101,"domain_scores_codex":[0.9975033,0.00007557325,0.0008453,0.0004081165,0.0006491818,0.0005184945],"domain_scores_gemma":[0.9972955,0.0001433735,0.00111025,0.0009615488,0.0003862531,0.0001030559],"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":[0.00001488352,0.00002664276,0.000004083079,0.0001187075,0.00007260809,0.00003914234,0.00004270363,0.000009708811,0.000001967013,0.001238139,0.9949523,0.003479106],"study_design_scores_gemma":[0.0004682164,0.00006783241,0.00001040153,0.0003451681,0.00001687561,0.0001386298,0.00002246097,0.00002287781,0.0001096408,0.00004282181,0.9982595,0.000495526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000190021,0.00007467925,0.00007540382,0.001301089,0.00164607,0.0004140071,0.0001171098,0.0004223084,0.9959303],"genre_scores_gemma":[0.0005125194,0.00005306061,0.002184599,0.0009929488,0.0002377797,0.00002732708,0.00005469036,0.0001090771,0.995828],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3195433,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005362514071048026,"score_gpt":0.188085748730084,"score_spread":0.1827232346590359,"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."}}