{"id":"W6904871225","doi":"10.14288/1.0424381","title":"Vancouver Looking N.W.","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":"Feature (linguistics); Placemaking; Natural (archaeology); Government (linguistics); Field (mathematics)","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":[0.0001132153,0.0007005649,0.0003612588,0.0007581005,0.004908251,0.003183427,0.0004252633,0.0007932524,0.6587362],"category_scores_gemma":[0.0003447063,0.0003722608,0.0002460733,0.001169628,0.0003531303,0.0006439997,0.001010384,0.001373146,0.2658369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002988167,"about_ca_system_score_gemma":0.002754803,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5178583,"about_ca_topic_score_gemma":0.9159463,"domain_scores_codex":[0.9998716,0.000005595881,0.000002307643,0.0000251421,0.00005682,0.00003854619],"domain_scores_gemma":[0.9997346,0.000008299965,0.00000384698,0.000007516107,0.0001706877,0.00007516784],"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":[0.00001723893,0.000006084151,0.0003491746,0.00004673811,0.000001537475,0.00008338653,0.0001100517,0.00003267626,0.0002155784,0.0008780002,0.9776864,0.02057316],"study_design_scores_gemma":[0.000002614086,0.000004530407,0.001931699,0.00005539024,0.000001900033,0.00003850777,0.0004234913,0.00002130533,0.000115901,0.00009005646,0.9973098,0.000004770438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001122085,0.0007742646,0.0001904719,0.001019437,0.0006839472,0.00003317952,0.0033474,0.000346385,0.9924827],"genre_scores_gemma":[0.002771444,0.0003296544,0.0001233561,0.0001388189,0.00001860219,0.000005614026,0.0005607576,0.0001213566,0.9959304],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5178583,"threshold_uncertainty_score":0.9699624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008253557979097001,"score_gpt":0.1782534152758862,"score_spread":0.1699998572967892,"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."}}