{"id":"W7113133482","doi":"","title":"Bell-Vanderhoof Collection of Theatre Programs","year":2025,"lang":"en","type":"other","venue":"QSpace (Queen's University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto; University of Exeter","keywords":"Data collection; Work (physics); Exposition (narrative)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0009802124,0.001254574,0.001073913,0.00574644,0.001212745,0.004368613,0.001522521,0.0005910486,0.8329191],"category_scores_gemma":[0.004344224,0.0005809211,0.0005926744,0.007270108,0.0003638536,0.002169368,0.002043643,0.0009516132,0.7287902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423927,"about_ca_system_score_gemma":0.002975931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241495,"about_ca_topic_score_gemma":0.01895837,"domain_scores_codex":[0.9991805,0.00008932625,0.00006838125,0.00008073902,0.000496031,0.00008503377],"domain_scores_gemma":[0.9976914,0.0004778331,0.00008818653,0.0002251151,0.001110049,0.0004075768],"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":[0.00003460976,0.00001650904,0.00005120189,0.0001462911,0.000001304218,0.00001328914,0.00004086105,0.00006963869,0.0001747879,0.001587702,0.9367257,0.06113807],"study_design_scores_gemma":[0.000007936283,0.000009233163,0.00039038,0.00007989475,0.000001892721,0.00002370109,0.00003940131,0.00005863766,0.0001582147,0.0004492481,0.9987732,0.000008303442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.0006044364,0.0009064194,0.004284966,0.0005685212,0.0006042006,0.000253269,0.1170854,0.008452392,0.8672404],"genre_scores_gemma":[0.001804292,0.001276252,0.003888335,0.0001509582,0.0001950258,0.0001763611,0.05686915,0.004752534,0.9308872],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8329191,"threshold_uncertainty_score":0.2383207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00586305122326608,"score_gpt":0.1826803180584446,"score_spread":0.1768172668351785,"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."}}