{"id":"W2181988679","doi":"","title":"REMEDIATION OF SITE 050 OF THE MID-CANADA RADAR LINE: IDENTIFYING POTENTIAL SITES OF CONCERN UTILIZING TRADITIONAL ENVIRONMENTAL KNOWLEDGE","year":2001,"lang":"en","type":"article","venue":"","topic":"Cultural Heritage Management and Preservation","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Environmental planning; Environmental science; Environmental resource management; Radar; Remote sensing; Geography; Engineering; Contamination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116443,0.0002589261,0.0002854001,0.0008387259,0.002835773,0.000927632,0.00121465,0.0008054152,0.002614011],"category_scores_gemma":[0.0006650251,0.0001507694,0.000240954,0.0007295635,0.0005312266,0.0003005599,0.0006227823,0.0006154976,0.0005129855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003640213,"about_ca_system_score_gemma":0.01202767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7940046,"about_ca_topic_score_gemma":0.9462353,"domain_scores_codex":[0.9996179,0.00001379576,0.000006692105,0.00004390232,0.0002158635,0.0001018436],"domain_scores_gemma":[0.9996991,0.00001767693,0.00002978716,0.00001592334,0.0001809732,0.00005653623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001214575,0.0007998007,0.2465301,0.000492914,0.000087065,0.005244649,0.007978154,0.0153786,0.2819498,0.00179779,0.01280638,0.4257202],"study_design_scores_gemma":[0.0001241161,0.001288974,0.7444988,0.0001585438,0.0002520425,0.0019886,0.02164729,0.02260018,0.1258929,0.0008142836,0.08062066,0.0001136274],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9734881,0.0002687077,0.004592033,0.0004432886,0.00005209195,0.0002435344,0.0004990036,0.0001712301,0.0202421],"genre_scores_gemma":[0.968824,0.0001990773,0.013072,0.0001873447,0.000006880201,0.00004072384,0.0003997188,0.00002192508,0.0172483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2059954,"threshold_uncertainty_score":0.414417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1355969717862794,"score_gpt":0.2332964984791364,"score_spread":0.09769952669285703,"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."}}