{"id":"W4311681203","doi":"10.22215/etd/2022-15259","title":"Canadian Impact Assessment: Gender-Based Analysis Plus and Intersectionality in Natural Resource Policy","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Intersectionality; Government (linguistics); Natural resource; Resource (disambiguation); Political science; Work (physics); Natural (archaeology); Public administration; Gender studies; Sociology; Geography; Engineering; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0105693,0.0007363773,0.0006411609,0.007652929,0.01486317,0.01075751,0.00200455,0.001061975,0.008400655],"category_scores_gemma":[0.01281511,0.0003578243,0.0006396433,0.01256865,0.007827197,0.003833811,0.006287116,0.002391103,0.0005429382],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1409455,"about_ca_system_score_gemma":0.2498508,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859135,"about_ca_topic_score_gemma":0.9940554,"domain_scores_codex":[0.9880356,0.002276469,0.0002085484,0.0005888508,0.007398813,0.001491705],"domain_scores_gemma":[0.9923602,0.001573538,0.0003362596,0.0002537127,0.004798661,0.0006777425],"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":[0.00004547868,0.00004688046,0.01150245,0.0003473067,0.00004442949,0.0001256087,0.01556324,0.002613155,0.0003180456,0.7362431,0.06733279,0.1658175],"study_design_scores_gemma":[0.00001689754,0.00004203854,0.06164005,0.001618686,0.0001439766,0.0001044938,0.05063982,0.006410827,0.001135216,0.1602575,0.7177843,0.0002062222],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03891119,0.008547696,0.0196775,0.03665336,0.0006117122,0.000377877,0.002779593,0.0002058781,0.8922352],"genre_scores_gemma":[0.8353434,0.0185297,0.06496286,0.006943352,0.0001920728,0.0006104336,0.00193048,0.0002560754,0.07123163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8590545,"threshold_uncertainty_score":0.9963815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01024131937331273,"score_gpt":0.3344158652426197,"score_spread":0.324174545869307,"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."}}