{"id":"W4385534844","doi":"10.1515/9780773576414-011","title":"A Scottish-born Silversmith in Montreal: Robert Cruikshank","year":2006,"lang":"en","type":"book-chapter","venue":"McGill-Queen's University Press eBooks","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"History; Genealogy; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001568921,0.001540327,0.0007216251,0.001750705,0.01119753,0.00645,0.00206228,0.004066131,0.05832905],"category_scores_gemma":[0.002405362,0.000800944,0.0005301729,0.002415953,0.004964656,0.004612583,0.003750021,0.005771657,0.01170945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02192384,"about_ca_system_score_gemma":0.0242219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7420905,"about_ca_topic_score_gemma":0.9127662,"domain_scores_codex":[0.9991598,0.0001495777,0.00002097582,0.0001642136,0.0002402232,0.0002651971],"domain_scores_gemma":[0.9988781,0.00009888556,0.00004354886,0.00005113898,0.0004054184,0.0005228468],"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":[0.000009846316,0.000009416249,0.0001118665,0.00003235255,0.000002693859,0.00009273178,0.0009200101,0.00002558836,0.0000451027,0.01088118,0.9755993,0.01226981],"study_design_scores_gemma":[0.000001758883,0.000002601764,0.0002433407,0.00005182239,0.000001808017,0.00003694284,0.0006173233,0.000007422474,0.00003083774,0.0007541642,0.9982449,0.000007028557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002630848,0.265109,0.001116099,0.397521,0.04842113,0.00008007049,0.0006453482,0.0003164383,0.2841599],"genre_scores_gemma":[0.01785436,0.03526854,0.0006548311,0.02791603,0.003706736,0.00002512686,0.0001496129,0.0002856089,0.9141392],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2579095,"threshold_uncertainty_score":0.5188568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819841227821688,"score_gpt":0.1788941926025648,"score_spread":0.1606957803243479,"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."}}