{"id":"W216731290","doi":"","title":"Approach to management of polluted sites in Canada.","year":2009,"lang":"en","type":"article","venue":"Shengtai yu nongcun huanjing xuebao","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); Test site; Test (biology); Management system; Environmental remediation; Environmental resource management; Environmental science; China; Environmental protection; Environmental planning; Geography; Computer science; Operations management; Engineering; Contamination; Archaeology; Ecology; Mining engineering; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0001885348,0.0001989084,0.0002528784,0.00005543557,0.00008351747,0.00001874815,0.0003572202,0.0000484403,0.000331956],"category_scores_gemma":[0.000006486795,0.000197598,0.00004903452,0.0005066441,0.00004813525,0.0001883609,0.0001848421,0.0001358771,0.00006232702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012645,"about_ca_system_score_gemma":0.00003568936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2869559,"about_ca_topic_score_gemma":0.1691228,"domain_scores_codex":[0.9982431,0.00004566713,0.0003327403,0.0003520945,0.0005344413,0.0004919806],"domain_scores_gemma":[0.9994302,0.00001647583,0.00007781798,0.0002814138,0.000002755406,0.000191386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001136562,0.001497713,0.8739242,0.00009214004,0.0001075068,0.0001208941,0.003896679,0.0187742,0.03790315,0.001475845,0.007751217,0.0543428],"study_design_scores_gemma":[0.0004449635,0.00006506718,0.9940466,0.00003857627,0.00001579648,0.000001246814,0.001567238,0.0003878756,0.002040563,0.0003562169,0.0007438232,0.0002920454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862107,0.00002159232,0.0001699893,0.00023535,0.00006646377,0.0003410142,0.00001024396,0.00001739754,0.1129272],"genre_scores_gemma":[0.9933501,0.000009934387,0.004804845,0.0006476667,0.00001954307,0.0000119335,0.0000127521,0.00001428376,0.001128927],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1201224,"threshold_uncertainty_score":0.8460385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.010906116510081,"score_gpt":0.2333087340002687,"score_spread":0.2224026174901877,"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."}}