{"id":"W4408037702","doi":"10.1017/s1472669624000550","title":"Indigenous Legal Materials and Libraries: One Canadian Law Library's Experience","year":2024,"lang":"en","type":"article","venue":"Legal Information Management","topic":"Legal Education and Practice Innovations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Law library; Political science; Library science; Law; Computer science","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0003047874,0.00009258747,0.00007792228,0.0003167023,0.0007945942,0.007326827,0.0001933424,0.00006342133,0.002286413],"category_scores_gemma":[0.000030343,0.00009829068,0.0000165586,0.0006247046,0.000142845,0.02447606,0.00005485714,0.0001440783,0.0005256016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046068,"about_ca_system_score_gemma":0.0006150381,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.280994,"about_ca_topic_score_gemma":0.02360747,"domain_scores_codex":[0.9989776,0.0000562684,0.0003011445,0.0001150356,0.0002688148,0.0002811285],"domain_scores_gemma":[0.9995493,0.00004053883,0.00005975474,0.0001345923,0.00003763323,0.0001781534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003396754,0.000007760894,0.00001427549,0.00005473675,0.00001991583,0.000004879254,0.04600177,0.000002312714,0.000002610668,0.9298314,0.01670396,0.007352913],"study_design_scores_gemma":[0.00005362201,0.00001000502,0.0002712201,0.00002827155,0.00001054338,0.000001707441,0.0111208,0.00001326934,0.0001114183,0.00219916,0.986056,0.0001239296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01022771,0.0001076728,0.0003272888,0.04491947,0.001325358,0.0005324939,0.00004418368,0.0003003161,0.9422155],"genre_scores_gemma":[0.9691869,0.0001915314,0.001886136,0.01229242,0.0002337778,0.0001045564,0.0001509284,0.000009943568,0.01594379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9693521,"threshold_uncertainty_score":0.9986256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032287219458814,"score_gpt":0.2948630255496797,"score_spread":0.2745401533550916,"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."}}