{"id":"W6989673386","doi":"","title":"Canada Allocates CAD 8 Mln for Clean Technology Prrojects | Offshore Wind - Marine News","year":2015,"lang":"en","type":"other","venue":"","topic":"Marine and Offshore Engineering Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Submarine pipeline; Offshore wind power; CAD; Wind power; Clean technology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001260084,0.0008287478,0.0005711798,0.002492366,0.006746788,0.007295536,0.001258328,0.00592566,0.2989921],"category_scores_gemma":[0.003174423,0.0007631981,0.0007172505,0.001800425,0.00108892,0.001172873,0.001646627,0.003739371,0.08442495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01726294,"about_ca_system_score_gemma":0.06525679,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.853383,"about_ca_topic_score_gemma":0.9605899,"domain_scores_codex":[0.9972996,0.00004886961,0.00003563262,0.0001119744,0.001826105,0.0006777627],"domain_scores_gemma":[0.9952306,0.000234398,0.0000818865,0.0001606446,0.002876465,0.001416035],"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":[0.00002836773,0.00002674533,0.0003082906,0.00002523123,0.000001951455,0.00004355058,0.00002075809,0.00005382011,0.0001208992,0.001771418,0.98966,0.007938872],"study_design_scores_gemma":[0.000009215531,0.00001084681,0.00222134,0.00002466587,0.000002105246,0.00001041289,0.00009598107,0.0000759482,0.0001322225,0.0001618869,0.9972472,0.000008279377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002346785,0.0009261593,0.0003311735,0.01724847,0.004369144,0.0002201498,0.008988663,0.000782694,0.9647867],"genre_scores_gemma":[0.002569708,0.0002215335,0.00007674972,0.001528283,0.0001283739,0.00001546633,0.0009529756,0.0000737738,0.9944332],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2989921,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007289540780965341,"score_gpt":0.1965456373792509,"score_spread":0.1892560965982856,"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."}}