{"id":"W4226459200","doi":"10.4095/329688","title":"Geotechnical parameters important for offshore wind energy in Atlantic Canada","year":2022,"lang":"en","type":"report","venue":"","topic":"Geotechnical Engineering and Underground Structures","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Submarine pipeline; Geotechnical engineering; Offshore wind power; Geology; Wind power; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004550649,0.0003492294,0.0002871036,0.00122,0.002138061,0.001527609,0.0005345425,0.0005598905,0.002893404],"category_scores_gemma":[0.001442461,0.0002395678,0.0002485119,0.002782507,0.0003738594,0.0005431561,0.000387082,0.0006250627,0.0003679798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02066387,"about_ca_system_score_gemma":0.03438612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900884,"about_ca_topic_score_gemma":0.9978351,"domain_scores_codex":[0.9993838,0.00002529912,0.00002203087,0.00003473298,0.0003980882,0.0001360915],"domain_scores_gemma":[0.9982042,0.0001254391,0.00009716109,0.00002894655,0.001385461,0.0001586554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000446746,0.0002120031,0.8528645,0.0003426152,0.0001181214,0.001613561,0.001694325,0.04066714,0.008413449,0.002895386,0.03771418,0.05301806],"study_design_scores_gemma":[0.000008067993,0.0000171422,0.974984,0.00004259641,0.00002341157,0.00004939102,0.003169157,0.002729021,0.001898599,0.0002293607,0.01681977,0.00002951293],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8843786,0.001167822,0.0009545032,0.001171093,0.00007071364,0.0001353404,0.03013624,0.00008561893,0.0819001],"genre_scores_gemma":[0.9562464,0.001216713,0.0006690637,0.0000785072,0.00001426,0.00002335163,0.007271873,0.00003988715,0.03443991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02066387,"threshold_uncertainty_score":0.1499276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158667474900122,"score_gpt":0.2104545565996752,"score_spread":0.198867881850674,"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."}}