{"id":"W2351610335","doi":"","title":"Comprehensive treatment and utilization of side slope seepage in one residential quarter","year":2006,"lang":"en","type":"article","venue":"Shanxi Architecture","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Environmental science; Forensic engineering; Engineering; Geography","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":[0.0002099421,0.0002180829,0.0002881105,0.000860867,0.0005291608,0.0003366098,0.0003009533,0.0003276518,0.001529957],"category_scores_gemma":[0.000412541,0.000123692,0.0003172307,0.0007238335,0.0002015946,0.000307612,0.0004142048,0.0001967731,0.0001725064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004102499,"about_ca_system_score_gemma":0.001181414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003592087,"about_ca_topic_score_gemma":0.01547609,"domain_scores_codex":[0.9998065,0.00004082366,0.00001081535,0.00002448285,0.00006840458,0.00004895154],"domain_scores_gemma":[0.9997559,0.00002329085,0.00006440593,0.0000300546,0.00007510989,0.00005129603],"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":[0.0005308247,0.0008038811,0.2637382,0.0004051556,0.0001283326,0.00163459,0.001123415,0.04602595,0.06352244,0.004365047,0.004087266,0.6136349],"study_design_scores_gemma":[0.00004397574,0.001454214,0.8479354,0.0001037441,0.000228501,0.001765858,0.004289906,0.09276882,0.03169606,0.005844822,0.0137909,0.00007779474],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9767691,0.0004780252,0.01645167,0.0002645448,0.00001656563,0.0001030652,0.0001537925,0.000145252,0.005618001],"genre_scores_gemma":[0.992541,0.0002779731,0.005202958,0.00002428511,0.000008035237,0.00002310376,0.0001393021,0.000009726209,0.001773596],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003592087,"threshold_uncertainty_score":0.007142305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060820703739724,"score_gpt":0.2196744847133657,"score_spread":0.1990662776759684,"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."}}