{"id":"W6904810384","doi":"10.14288/1.0429601","title":"C.P.R. Wharf, Vancouver B.C.","year":2023,"lang":"en","type":"other","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Data collection; Work (physics); 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":[0.0002265778,0.0007650324,0.0004481214,0.0008357502,0.005519737,0.003608787,0.000645068,0.001184451,0.6907682],"category_scores_gemma":[0.0006805021,0.0003994318,0.0002864649,0.001494593,0.0005233103,0.0008704608,0.001059867,0.001517771,0.5032533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0029539,"about_ca_system_score_gemma":0.004478157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4261244,"about_ca_topic_score_gemma":0.8396327,"domain_scores_codex":[0.9997509,0.000009934507,0.00000558693,0.00006377965,0.0001144701,0.00005533208],"domain_scores_gemma":[0.9995257,0.00001854354,0.000009480656,0.00001965871,0.0002902818,0.0001363095],"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":[0.00001627908,0.000008373027,0.0002246037,0.00004331181,0.000001319098,0.00004717265,0.00006718712,0.00003192254,0.0001960312,0.0009056886,0.9741052,0.02435286],"study_design_scores_gemma":[0.000001568768,0.000003020092,0.00103527,0.00002831709,7.978276e-7,0.00001472485,0.0001125756,0.000009863575,0.00005744817,0.00006122654,0.9986725,0.000002679622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000788328,0.001155586,0.000175611,0.001093789,0.0007826107,0.00004322867,0.004292289,0.000295334,0.9913731],"genre_scores_gemma":[0.0006028103,0.0002096306,0.00005431062,0.00006296611,0.000009426437,0.000003826391,0.0003816673,0.00006619212,0.9986092],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6907682,"threshold_uncertainty_score":0.8472881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740304896416268,"score_gpt":0.2925801545416232,"score_spread":0.2651771055774605,"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."}}