{"id":"W4224317468","doi":"10.5260/chara.23.4.11","title":"Canada Commons","year":2022,"lang":"en","type":"article","venue":"The Charleston Advisor","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commons; Appeal; House of Commons; Government (linguistics); Public administration; Successor cardinal; Political science; Business; Library science; Parliament; World Wide Web; Computer science; Law; Politics","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":[0.001799761,0.0009895707,0.001105532,0.006080571,0.01393023,0.01706225,0.003470501,0.003415672,0.5481257],"category_scores_gemma":[0.01064274,0.0008252768,0.000773137,0.009279938,0.003262524,0.004068271,0.004809707,0.003348768,0.2736772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04815481,"about_ca_system_score_gemma":0.1730497,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8895222,"about_ca_topic_score_gemma":0.934283,"domain_scores_codex":[0.9938502,0.0001404557,0.0001387933,0.0005602143,0.004396576,0.0009137515],"domain_scores_gemma":[0.9869756,0.0003721461,0.0002151967,0.0009776539,0.008669743,0.002789765],"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":[0.00001762481,0.00001074576,0.0001916477,0.00007268774,0.000002925092,0.00005875989,0.000126174,0.00003470691,0.000122011,0.01775627,0.9620531,0.01955332],"study_design_scores_gemma":[0.000001587143,0.000001087682,0.0001964422,0.00002696399,0.000001070719,0.00001409242,0.00006617911,0.00001842947,0.00003405767,0.0004315552,0.9992035,0.000005040942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005075817,0.001316539,0.0006732116,0.009309016,0.002160425,0.0001402208,0.01956465,0.002176303,0.964152],"genre_scores_gemma":[0.004226449,0.001224566,0.0007454436,0.002707454,0.0002175286,0.00005646729,0.008509617,0.0006381309,0.9816744],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5481257,"threshold_uncertainty_score":0.6445439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009290505808426,"score_gpt":0.1733769974083132,"score_spread":0.1632840923502289,"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."}}