{"id":"W6923495708","doi":"10.14288/1.0427116","title":"[Vancouver Transfer Co. carriage portrait]","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":"Carriage; Transfer (computing); Population; Filter (signal processing)","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":[0.0001102505,0.0007010992,0.0002367226,0.0008081156,0.005540404,0.002209217,0.0006315194,0.001071008,0.5860458],"category_scores_gemma":[0.0003476681,0.0003594987,0.0001836803,0.001339485,0.0004179111,0.0008466875,0.00115161,0.001537755,0.2642961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920822,"about_ca_system_score_gemma":0.001561135,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4307705,"about_ca_topic_score_gemma":0.8209968,"domain_scores_codex":[0.999884,0.000008984822,0.000001886229,0.0000145405,0.00005159188,0.00003892016],"domain_scores_gemma":[0.9998043,0.000008537839,0.0000047259,0.000009571013,0.0001081696,0.00006466052],"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":[0.00001252364,0.00000514523,0.0001361574,0.00001950832,4.920977e-7,0.0001086998,0.0001726042,0.00002693977,0.0000818172,0.0004182123,0.9904143,0.008603702],"study_design_scores_gemma":[0.000002127843,0.000002943958,0.0008420248,0.00002420372,5.125809e-7,0.00005367531,0.0004384863,0.00002056334,0.00002937591,0.0000495505,0.9985329,0.000003600449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008501506,0.0004726776,0.0001231715,0.0006915275,0.0004709597,0.00004064961,0.002145473,0.0001712247,0.9950342],"genre_scores_gemma":[0.002955307,0.0002330353,0.00008037825,0.0001997119,0.00004565942,0.00001402936,0.0008439949,0.0001358195,0.9954921],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5860458,"threshold_uncertainty_score":0.8565263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009506367374297891,"score_gpt":0.1834973389077613,"score_spread":0.1739909715334634,"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."}}