{"id":"W4386268674","doi":"10.22215/crr/23i22r-e","title":"2STNBGN Perspectives on Access to Justice: A Legal Needs Assessment","year":2022,"lang":"en","type":"report","venue":"","topic":"LGBTQ Health, Identity, and Policy","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Women and Gender Equality Canada","keywords":"Legislation; Economic Justice; Legislature; Inclusion (mineral); Government (linguistics); Human rights; Identity (music); Political science; Law; Gender justice; Expression (computer science); Sociology; Gender studies; Art; Aesthetics; Philosophy; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.014776,0.0001538893,0.0004154427,0.003071876,0.0143553,0.008391064,0.001519598,0.005679538,0.01593285],"category_scores_gemma":[0.01690076,0.000351833,0.0003754363,0.003251672,0.01018677,0.00977107,0.01048619,0.005694934,0.0007164621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02153592,"about_ca_system_score_gemma":0.06327214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1731582,"about_ca_topic_score_gemma":0.4120447,"domain_scores_codex":[0.9893562,0.003212903,0.0002861612,0.0003259009,0.002262872,0.004555932],"domain_scores_gemma":[0.9803965,0.007039204,0.001417765,0.000399628,0.004152748,0.006594117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006688415,0.0005416338,0.05810396,0.0004233244,0.00001117316,0.002989119,0.284585,0.0002799605,0.000465533,0.5237617,0.06279474,0.06597697],"study_design_scores_gemma":[0.00001722868,0.00008974539,0.03694132,0.001342018,0.000008336707,0.0009519275,0.7787362,0.0003060992,0.0001486266,0.03880814,0.1426117,0.0000386119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3556201,0.003876777,0.0007570564,0.4151262,0.0003760931,0.0002003557,0.0004229988,0.00001741539,0.2236029],"genre_scores_gemma":[0.936859,0.003844362,0.001190138,0.0345047,0.0002345512,0.0002769461,0.0002454431,0.0000174935,0.02282736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1731582,"threshold_uncertainty_score":0.3443007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1360868130441932,"score_gpt":0.5371409312765824,"score_spread":0.4010541182323891,"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."}}