{"id":"W4411234365","doi":"10.4095/pv67z56149","title":"Geological model of parameters relevant for offshore wind-energy infrastructure in Atlantic Canada","year":2025,"lang":"en","type":"report","venue":"","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Offshore wind power; Submarine pipeline; Wind power; Geology; Oceanography; Environmental science; Geography; Marine engineering; Meteorology; 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":[0.0001829802,0.0004972782,0.00032663,0.001338858,0.001138384,0.001634839,0.001552659,0.0008210341,0.02290171],"category_scores_gemma":[0.00112095,0.0003973687,0.0006163045,0.003684504,0.0004619184,0.0006520937,0.0003984162,0.0008037205,0.003482837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01541736,"about_ca_system_score_gemma":0.02564885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9910458,"about_ca_topic_score_gemma":0.9914622,"domain_scores_codex":[0.9998574,0.000009657969,0.00000691183,0.00002049754,0.00005208754,0.00005334179],"domain_scores_gemma":[0.9994187,0.00007605366,0.00002923937,0.00004126701,0.0003691621,0.00006557829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001703071,0.0001270973,0.03965333,0.0002688812,0.00006674955,0.0002948415,0.000516371,0.7826114,0.001493569,0.01788695,0.1329908,0.02391982],"study_design_scores_gemma":[0.0003734273,0.00003158222,0.1198729,0.0002890834,0.0001108918,0.0001466679,0.002152363,0.5682003,0.003338091,0.008539259,0.296724,0.0002213346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1821652,0.0002893008,0.01306583,0.001581566,0.0002235522,0.0003829957,0.6209226,0.003527428,0.1778415],"genre_scores_gemma":[0.7144877,0.0008742179,0.01933164,0.0002764702,0.00002989694,0.0003589322,0.2011012,0.0008559913,0.06268401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02290171,"threshold_uncertainty_score":0.1118612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03207072072112559,"score_gpt":0.2187347876153884,"score_spread":0.1866640668942628,"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."}}