{"id":"W2792987410","doi":"","title":"
\\n\\tNative American Lands and the Keystone Pipeline Expansion: A Legal Analysis","year":2018,"lang":"en","type":"article","venue":"MedCrave (MedCrave Group)","topic":"Legal Systems and Judicial Processes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forensic genetics; Forensic nursing; Forensic psychology; Pipeline (software); Forensic odontology; Criminology; Political science; Geography; Forensic science; Law; Sociology; Archaeology; Engineering; Medicine; Biology","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":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002616409,0.000314238,0.0008352805,0.0002715559,0.001764269,0.0003197089,0.0005372872,0.0001393618,0.0002566945],"category_scores_gemma":[0.0008668308,0.00020853,0.0002491423,0.002703109,0.008273681,0.0003005894,0.0001721853,0.0003207409,0.0002389089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001051635,"about_ca_system_score_gemma":0.0001552605,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1313776,"about_ca_topic_score_gemma":0.1299361,"domain_scores_codex":[0.9962959,0.0007795891,0.0005425334,0.0006242045,0.001048384,0.0007093504],"domain_scores_gemma":[0.9977911,0.0005483438,0.0003996911,0.0004295175,0.0004911679,0.0003401987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002381314,0.000626254,0.09005316,0.0001354897,0.003975478,0.0002074891,0.4333061,0.00001564304,0.001172321,0.3105451,0.01539216,0.1421895],"study_design_scores_gemma":[0.0106454,0.001575558,0.1080125,0.0002152115,0.004263927,0.00004612804,0.2049862,0.0109847,0.001049235,0.02556189,0.6295516,0.003107745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6753578,0.002302911,0.04918312,0.03332033,0.00204452,0.002155995,0.0001256935,0.0005469678,0.2349627],"genre_scores_gemma":[0.9933144,0.0002024944,0.0001377397,0.001434349,0.002442934,0.00007199427,0.00001851876,0.00002719929,0.002350336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6141594,"threshold_uncertainty_score":0.9995353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009924086392610946,"score_gpt":0.2895363845018242,"score_spread":0.2796122981092133,"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."}}