{"id":"W2323899487","doi":"10.1108/09504120410552534","title":"LEGISinfo","year":2004,"lang":"en","type":"article","venue":"Reference Reviews","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Parliament; Documentation; Library science; Political science; History; Computer science; Law; Politics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001626224,0.001117114,0.001605349,0.01126042,0.003335987,0.006734016,0.002932918,0.003917389,0.9439685],"category_scores_gemma":[0.01269728,0.001373246,0.00087924,0.009371956,0.000832225,0.004672827,0.00323401,0.002825094,0.8640634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002583879,"about_ca_system_score_gemma":0.004817528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009286517,"about_ca_topic_score_gemma":0.01529027,"domain_scores_codex":[0.9987096,0.0002077303,0.000147137,0.0001238003,0.0006634689,0.0001482534],"domain_scores_gemma":[0.9897736,0.002888373,0.0006590022,0.001336243,0.004405561,0.0009373926],"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":[0.00001824564,0.00003169189,0.0001072081,0.0002908318,0.000002220625,0.00003909643,0.00004152085,0.0000189979,0.00004924703,0.001624,0.969686,0.02809102],"study_design_scores_gemma":[0.00003319169,0.0000139277,0.0006676687,0.0003660901,0.00000612561,0.00003688045,0.000114043,0.0000591496,0.0001221192,0.001320834,0.9972492,0.00001082698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002871517,0.0004703158,0.0003295946,0.002331048,0.00116694,0.0003372995,0.05221318,0.002810179,0.9400544],"genre_scores_gemma":[0.001310768,0.0007071521,0.0004289316,0.001625661,0.0004620263,0.0004598076,0.02758375,0.001236411,0.9661856],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9439685,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125202301847971,"score_gpt":0.2627011943197395,"score_spread":0.2014491713012598,"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."}}