{"id":"W4387594318","doi":"10.3138/9781487545260-015","title":"Appendix 1: Methodology Employed in Chapter 6 to Determine Copyright Registrations in Lower Canada from 1832 to 1841","year":2023,"lang":"en","type":"book-chapter","venue":"University of Toronto Press eBooks","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001162341,0.0006584589,0.0006024666,0.007099409,0.003259655,0.00137109,0.001573329,0.0007113239,0.3309233],"category_scores_gemma":[0.009602892,0.000509824,0.0004196035,0.01160068,0.0006006901,0.0005959362,0.0008500096,0.0008937091,0.06820942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008512679,"about_ca_system_score_gemma":0.01631848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6897137,"about_ca_topic_score_gemma":0.8773236,"domain_scores_codex":[0.9988313,0.0001328737,0.0001120502,0.0001265614,0.0005837129,0.0002135256],"domain_scores_gemma":[0.9904388,0.002592908,0.0003612038,0.0003979719,0.005907925,0.000301301],"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":[0.0000411886,0.0001100997,0.00688248,0.0004868321,0.000008101333,0.0001042364,0.001324467,0.0003317237,0.0002235107,0.005684488,0.9260353,0.05876757],"study_design_scores_gemma":[0.00006755513,0.00004268518,0.08230314,0.0004512056,0.00002494796,0.0001217323,0.003950801,0.0003124417,0.001162279,0.001974228,0.9095298,0.00005920647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.01687647,0.0003523045,0.007546846,0.0009981736,0.0004293492,0.0059102,0.7690207,0.0009260589,0.19794],"genre_scores_gemma":[0.04858201,0.001281472,0.04753947,0.0008458542,0.0001424102,0.01781814,0.3868384,0.0005580633,0.4963942],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3309233,"threshold_uncertainty_score":0.9543568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06351621157270816,"score_gpt":0.2484979077048001,"score_spread":0.1849816961320919,"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."}}