{"id":"W2964878034","doi":"10.1520/stp161120170215","title":"Adapting Vertical Seismic Profiling Techniques to Determine Depth and Characteristics of Sheet Piles at Complex Sites Using the Parallel Seismic Method","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Profiling (computer programming); Geology; Vertical seismic profile; Seismology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005553587,0.0008555799,0.0002698067,0.001915359,0.0002908325,0.0007030924,0.0006960498,0.0005630729,0.0009356675],"category_scores_gemma":[0.001601227,0.0004507655,0.000325416,0.001536826,0.0003534723,0.0007930014,0.001419208,0.0004441879,0.000748763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002331705,"about_ca_system_score_gemma":0.0005112367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234896,"about_ca_topic_score_gemma":0.007926928,"domain_scores_codex":[0.9993666,0.00008763881,0.0000465957,0.0001365668,0.0002791719,0.00008350529],"domain_scores_gemma":[0.998934,0.0001768228,0.0002096076,0.0002003575,0.000419952,0.00005930533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002008435,0.0001683761,0.1141175,0.0005328096,0.00007320549,0.001685235,0.00172029,0.04449569,0.3965205,0.001785923,0.002388837,0.4363108],"study_design_scores_gemma":[0.00005331742,0.0009754696,0.2545982,0.0002716334,0.0002089005,0.004404353,0.004560181,0.4453976,0.2562341,0.006526812,0.0264346,0.0003348056],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.469062,0.0002434406,0.5176941,0.0001647564,0.000101022,0.0003073702,0.0008196778,0.001488159,0.01011957],"genre_scores_gemma":[0.6254653,0.0004088277,0.371458,0.00008688934,0.00004076478,0.0001950673,0.0005649995,0.0001032587,0.001676892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00234896,"threshold_uncertainty_score":0.00467056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0370369385392163,"score_gpt":0.2597367563956434,"score_spread":0.2226998178564271,"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."}}