{"id":"W6886086858","doi":"10.14288/1.0424659","title":"Vancouver from Mt. Pleasant","year":2023,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Context (archaeology); Set (abstract data type); Photography; 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":[0.0001403086,0.0008205528,0.0004862862,0.001432266,0.004808637,0.003474341,0.0006153815,0.001016623,0.5517214],"category_scores_gemma":[0.0005094861,0.0003679254,0.0003072972,0.002149697,0.0004864631,0.0008621156,0.001464535,0.001856585,0.2663949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003202492,"about_ca_system_score_gemma":0.003332946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5422572,"about_ca_topic_score_gemma":0.9056591,"domain_scores_codex":[0.9997591,0.000009163753,0.000004479887,0.00005046827,0.0001192113,0.00005755359],"domain_scores_gemma":[0.9996684,0.00001206092,0.000006242185,0.00002115312,0.0002047787,0.00008751208],"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":[0.0000233441,0.000003879172,0.0001662782,0.00004474886,0.000001229835,0.000115631,0.0001403248,0.00003157102,0.0002800939,0.0007103924,0.9841649,0.01431772],"study_design_scores_gemma":[0.000003248681,0.00000206602,0.001999537,0.00005529544,0.000001621095,0.00006416029,0.000297812,0.00002370992,0.0001299359,0.0001435361,0.9972735,0.000005572851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001715223,0.000646843,0.0005103878,0.002272607,0.001914897,0.00008210191,0.02724828,0.0009541649,0.9646555],"genre_scores_gemma":[0.008365291,0.0005416417,0.0009031706,0.000409616,0.000154813,0.00002902747,0.01099023,0.001100457,0.9775057],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5517214,"threshold_uncertainty_score":0.920877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009452911725315828,"score_gpt":0.1738626919684529,"score_spread":0.1644097802431371,"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."}}