{"id":"W2564653028","doi":"","title":"An Evaluation of Ontario Provincial Land Use and Resource Management Policies and Their Intersection with First Nations with Respect to Manifest and Latent Content - Summary Table","year":2016,"lang":"en","type":"dataset","venue":"QSpace (Queen's University Library)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Queen's University","keywords":"Intersection (aeronautics); Table (database); Indigenous; Table of contents; Resource (disambiguation); Geography; Resource use; Regional science; Land use; Political science; Environmental resource management; Economics; Cartography; Computer science; Engineering; Ecology; Database","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009058223,0.0002552147,0.0002328773,0.000565632,0.0001907814,0.0001245046,0.0001298355,0.00009045997,0.00002224976],"category_scores_gemma":[0.000005508682,0.0001904942,0.00001649484,0.000177519,0.000086911,0.0004765916,0.0002086349,0.0001359251,6.026929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002534254,"about_ca_system_score_gemma":0.00006625977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05048253,"about_ca_topic_score_gemma":0.1326897,"domain_scores_codex":[0.9990851,0.00006625961,0.0001063394,0.0003302944,0.0002285442,0.0001834099],"domain_scores_gemma":[0.9994,0.00005831077,0.00008004491,0.0002919,0.00004158272,0.0001281944],"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":[0.0006471698,0.00008055356,0.01859395,0.0007391519,0.0005535997,0.00006150364,0.002853983,0.003932957,0.000001746538,0.0001314029,0.9721307,0.0002732336],"study_design_scores_gemma":[0.001214375,0.0005902265,0.0363897,0.001054603,0.0003594283,0.000002962134,0.002286277,0.00006582519,0.00002624188,0.000002670556,0.9576373,0.0003703553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188144,0.00005567951,0.000229384,0.002723179,0.0000812514,0.002166266,0.1719691,0.0002327514,0.003728023],"genre_scores_gemma":[0.5628458,0.003504591,0.003359196,0.0002883877,0.0004229885,0.00008415068,0.3314992,0.0003670323,0.09762867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2559686,"threshold_uncertainty_score":0.9558404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287191803424098,"score_gpt":0.1722698458946876,"score_spread":0.1593979278604466,"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."}}