{"id":"W4385888077","doi":"10.55274/r0010867","title":"PR-453-134504-R01 Pipeline On-Bottom Stability Software Upgrade Milestone I","year":2016,"lang":"en","type":"report","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intecsea (Canada)","funders":"","keywords":"Lift (data mining); Pipeline transport; Software; Logarithm; Stability (learning theory); Computer science; Marine engineering; Engineering; Mechanical engineering; Mathematics; Programming language","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":[0.001753785,0.001088531,0.0006769626,0.001652259,0.0006038595,0.001329413,0.002373987,0.0007679043,0.2455982],"category_scores_gemma":[0.006345409,0.0009952665,0.000807424,0.0008015267,0.0002785218,0.001550949,0.001735524,0.001345069,0.1520651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001294202,"about_ca_system_score_gemma":0.001807214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005837965,"about_ca_topic_score_gemma":0.004615766,"domain_scores_codex":[0.9983085,0.000135033,0.00007597895,0.0001908312,0.0011772,0.0001124885],"domain_scores_gemma":[0.9953673,0.0005682909,0.0002648082,0.001028602,0.002592087,0.0001789518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004014618,0.0001467151,0.005717598,0.0004717887,0.00003661364,0.0001639583,0.0002467767,0.01036524,0.01805821,0.008922542,0.6907556,0.2647134],"study_design_scores_gemma":[0.0002020263,0.0004162896,0.01090099,0.0001719207,0.00002860946,0.0004779084,0.000104159,0.05527494,0.04196716,0.002945902,0.8873782,0.0001318744],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01932759,0.0001130955,0.3227434,0.0005373667,0.0005875265,0.001842208,0.0678589,0.3096369,0.277353],"genre_scores_gemma":[0.07575266,0.0001925864,0.3675395,0.0003113568,0.0001328034,0.002559337,0.1373557,0.1000971,0.3160589],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2455982,"threshold_uncertainty_score":0.8216077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0219613198448002,"score_gpt":0.2431299554885175,"score_spread":0.2211686356437173,"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."}}