{"id":"W4408420685","doi":"10.15353/acmla.n175.6395","title":"Trading Card Project","year":2025,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Business; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002858522,0.0004753339,0.0004493585,0.00215302,0.007348626,0.01016583,0.002327072,0.001456941,0.4187956],"category_scores_gemma":[0.009451474,0.0004241627,0.0002619604,0.00349472,0.001669905,0.002590222,0.003021521,0.001292159,0.1490961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01178042,"about_ca_system_score_gemma":0.03913863,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3936495,"about_ca_topic_score_gemma":0.5340471,"domain_scores_codex":[0.9968144,0.0002897454,0.00009180482,0.0003639441,0.0017651,0.0006749097],"domain_scores_gemma":[0.990307,0.0004790835,0.0001109324,0.0008880253,0.005537396,0.002677507],"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":[0.00004285888,0.00004146101,0.001237866,0.0000576787,0.00000218815,0.00005947563,0.0005780191,0.00002351906,0.0001395519,0.02694472,0.8826168,0.08825586],"study_design_scores_gemma":[0.000007432199,0.000006162914,0.001339654,0.00002171327,0.00000163063,0.0000213823,0.0004554589,0.00004450708,0.00006627887,0.0005347187,0.9974968,0.000004270388],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005495151,0.0004804609,0.002698539,0.008603588,0.001639031,0.0007216818,0.01566863,0.001354888,0.963338],"genre_scores_gemma":[0.01581416,0.0005461116,0.002138339,0.001204668,0.00008902014,0.0002217928,0.007411137,0.0003764439,0.9721984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6063505,"threshold_uncertainty_score":0.8290175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008306570683283832,"score_gpt":0.2032490564683013,"score_spread":0.1949424857850175,"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."}}