{"id":"W4403301659","doi":"10.2139/ssrn.4948483","title":"Basement Waterproofing Experience in Toronto","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Waterproofing; Basement; Geology; Forensic engineering; History; Archaeology; Civil engineering; Engineering","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":[0.0004567659,0.0002062395,0.0001921027,0.0005538556,0.008652182,0.001769568,0.0008610041,0.0006603121,0.01657792],"category_scores_gemma":[0.001616862,0.0002593416,0.0002202335,0.001302332,0.001145964,0.0006576048,0.001636079,0.001086158,0.0009431586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02163355,"about_ca_system_score_gemma":0.02062188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8966446,"about_ca_topic_score_gemma":0.9836866,"domain_scores_codex":[0.9992259,0.0001016535,0.00002501089,0.00006707498,0.0002305875,0.0003497666],"domain_scores_gemma":[0.9982811,0.0001121888,0.0001062336,0.00003920682,0.0005257058,0.000935494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005985305,0.0007652549,0.3079952,0.0003392991,0.00004624492,0.01022124,0.508639,0.001969486,0.00856356,0.01072799,0.03373987,0.1163943],"study_design_scores_gemma":[0.00001787484,0.0006190569,0.4692792,0.0001345308,0.00002729864,0.0008988668,0.365632,0.0006263574,0.00165717,0.0002446536,0.1608059,0.00005718656],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9659348,0.0004835055,0.0001445366,0.001286564,0.00006215831,0.00002732459,0.0003256153,0.0000250883,0.03171054],"genre_scores_gemma":[0.9686334,0.0004752619,0.0001215435,0.00008332066,0.00001000271,0.000006697504,0.0001262483,0.0000116237,0.03053191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033554,"threshold_uncertainty_score":0.2079281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004078266737208965,"score_gpt":0.2389302444559244,"score_spread":0.2348519777187155,"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."}}