{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009960656,0.00006794975,0.00006236578,0.00003811423,0.0006714751,0.0001158923,0.001106243,0.000005669839,0.0002319504],"category_scores_gemma":[0.00001123155,0.00004975667,0.00002473453,0.0004799067,0.00001817161,0.0002368749,0.0006835022,0.0001185131,0.00001900006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000918071,"about_ca_system_score_gemma":0.0006062954,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03551649,"about_ca_topic_score_gemma":0.02446771,"domain_scores_codex":[0.9992181,0.0000570649,0.00009793078,0.0001383882,0.0003243574,0.0001641557],"domain_scores_gemma":[0.9995047,0.00008819694,0.0000424782,0.0003011639,0.000009882031,0.00005353846],"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":[0.00001214996,0.00004661196,0.001426642,0.000003074186,0.0000174782,0.00002594599,0.001064926,0.0004167746,0.00004174392,0.05847765,0.9235708,0.01489621],"study_design_scores_gemma":[0.0001041713,0.0000212144,0.003747362,7.368241e-7,7.71723e-7,0.00001958385,0.0001046566,0.001200349,0.0002093556,0.001008465,0.9934925,0.000090787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3788747,0.001131214,0.007247059,0.2293321,0.003671682,0.0009671368,0.00006685014,0.001007674,0.3777016],"genre_scores_gemma":[0.9647734,0.000002700249,0.0001655497,0.004255599,0.00002761388,0.00005120463,0.000003622195,0.000005798493,0.03071456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5858987,"threshold_uncertainty_score":0.9933332,"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."}}