{"id":"W2469251622","doi":"10.3138/cpp.2015-061","title":"Lands and Resources for Jobs: How Aboriginal Peoples Strategically Use Environmental Assessments to Advance Community Employment Aims","year":2016,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Negotiation; Leverage (statistics); Resource (disambiguation); Work (physics); Economic growth; Private sector; Business; Space (punctuation); Political science; Economics; Law; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636539,0.0001753095,0.0001462233,0.0003125286,0.0002461649,0.0002645634,0.0002450985,0.00006047208,0.00002961012],"category_scores_gemma":[0.00005144946,0.0001390912,0.0000318665,0.0001162816,0.00005838192,0.0001876286,0.00003657795,0.0001028739,0.000008871491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004683195,"about_ca_system_score_gemma":0.0001619347,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01259679,"about_ca_topic_score_gemma":0.07827,"domain_scores_codex":[0.9989809,0.00004599586,0.0001201723,0.0001650144,0.0001233011,0.0005646109],"domain_scores_gemma":[0.9987552,0.0001075746,0.0000222527,0.0003080627,0.00001092327,0.0007960589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000101248,0.00037314,0.3142206,0.0006268605,0.00110065,0.00008665408,0.01461189,0.001159261,0.007011313,0.07465976,0.1136175,0.4724312],"study_design_scores_gemma":[0.0004673561,0.0001234545,0.1049026,0.00003824685,0.000008877191,0.000004500606,0.0006979305,0.0001721795,0.00002036038,0.00005048339,0.8932796,0.0002343995],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903157,0.0000632712,0.001010223,0.005353911,0.00006424094,0.0002600911,0.00046463,0.00008476606,0.002383134],"genre_scores_gemma":[0.9955229,0.00009139792,0.0005092422,0.0005371164,0.0001523487,0.00008488035,0.00002108064,0.00003453039,0.003046548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7796621,"threshold_uncertainty_score":0.9939784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950531218750665,"score_gpt":0.2591091749166523,"score_spread":0.2396038627291456,"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."}}