{"id":"W2018295962","doi":"10.1177/0270467609342712","title":"Sydney Tar Ponds Remediation","year":2009,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Knowledge Management and Technology","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"","keywords":"tar (computing); China; Nova scotia; Cape; Environmental remediation; Geography; Vegetation (pathology); History; Environmental science; Archaeology; Ecology; Contamination; Biology","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":[0.000408671,0.0002684741,0.0001613312,0.0005354007,0.004108023,0.001293541,0.0009371338,0.001042552,0.01115273],"category_scores_gemma":[0.0008027775,0.0001224768,0.0003052095,0.0006957378,0.001267037,0.0005760086,0.001482582,0.0009382349,0.001044989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00495867,"about_ca_system_score_gemma":0.01205013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2245004,"about_ca_topic_score_gemma":0.4986832,"domain_scores_codex":[0.999203,0.00009544576,0.00002063726,0.00007217167,0.0004456092,0.0001631117],"domain_scores_gemma":[0.9995585,0.00003882791,0.00004388255,0.00004591713,0.0002262926,0.00008658],"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":[0.0004249661,0.0005324662,0.04597786,0.001389091,0.00008077548,0.01862688,0.02489881,0.006056977,0.04018588,0.04362131,0.2627364,0.5554684],"study_design_scores_gemma":[0.00003376934,0.0003971974,0.03531342,0.0002868451,0.00004537501,0.001851023,0.01676055,0.00280931,0.02138528,0.003719041,0.9173318,0.00006648795],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5136734,0.003406155,0.008294036,0.02172633,0.0009436656,0.00071936,0.0006025623,0.0006328219,0.4500017],"genre_scores_gemma":[0.7686849,0.002326312,0.006309788,0.001551113,0.00007453781,0.00006164397,0.0002729471,0.00004601035,0.2206728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7754996,"threshold_uncertainty_score":0.4463873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03182489784209325,"score_gpt":0.3253108920845835,"score_spread":0.2934859942424903,"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."}}