{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004692654,0.0005085333,0.0006010638,0.0003475999,0.00002704487,0.00001570884,0.0003105332,0.00038101,0.0005028924],"category_scores_gemma":[0.00005342895,0.0004682979,0.00005303942,0.0002673251,0.00003624388,0.00001883158,0.0001619195,0.0002714546,0.00001770619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818613,"about_ca_system_score_gemma":0.0002661946,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3647541,"about_ca_topic_score_gemma":0.9646813,"domain_scores_codex":[0.9987373,0.00000355884,0.0002491882,0.0003160338,0.0001776909,0.000516173],"domain_scores_gemma":[0.9993365,0.00002817687,0.00004084013,0.0004270712,0.00006106759,0.0001063889],"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":[0.000002609014,0.000006079782,0.000192097,0.0002872396,0.0002960057,0.00001305322,0.00001080162,0.0006325611,0.000002817855,0.0003499179,0.9876496,0.0105572],"study_design_scores_gemma":[0.0002811481,0.00004018069,0.00003104774,0.00005473593,0.00005487531,0.000006033731,0.0001128533,0.001024074,0.00009249359,0.0000516896,0.9977127,0.0005381341],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006078673,0.001881109,0.0005049061,0.0003872284,0.001416784,0.0007321691,0.0002126192,0.001974484,0.9928299],"genre_scores_gemma":[0.001634529,0.0004573761,0.003459777,0.0001153001,0.0009056668,0.0001036445,0.0003660846,0.00105253,0.9919051],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5999271,"threshold_uncertainty_score":0.9997769,"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."}}