{"id":"W7000708368","doi":"","title":"Government of Canada invests over $8.1 million to drive innovation in ocean technology, life sciences, and clean energy on Vancouver Island","year":2023,"lang":"en","type":"other","venue":"","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Energy (signal processing); Clean energy; Energy policy; Renewable energy; Public policy","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":[0.0005584509,0.0008037144,0.0004968875,0.001606905,0.005042827,0.003230743,0.0009921872,0.002990742,0.1898853],"category_scores_gemma":[0.001973323,0.0004676362,0.0006876568,0.001894456,0.000857691,0.000716612,0.001686834,0.002193775,0.05919293],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01676433,"about_ca_system_score_gemma":0.08156663,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9799531,"about_ca_topic_score_gemma":0.9932288,"domain_scores_codex":[0.9990796,0.00002098154,0.00001654539,0.00004337082,0.0004888268,0.0003506525],"domain_scores_gemma":[0.996727,0.000103753,0.00003600025,0.00005575833,0.001944808,0.001132655],"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":[0.00003902478,0.00003638727,0.00110825,0.0001031883,0.000006550111,0.00003920559,0.00003249594,0.0001191477,0.0001942259,0.002049741,0.9687482,0.02752377],"study_design_scores_gemma":[0.00003434139,0.00001671292,0.0058243,0.0000996474,0.000005929855,0.00001533481,0.0002052425,0.0002421071,0.000188175,0.0004177374,0.9929349,0.00001565511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003841394,0.002187189,0.0005386645,0.01655781,0.001995028,0.0002850009,0.04238058,0.0008190937,0.9313953],"genre_scores_gemma":[0.00601436,0.001223401,0.0004147641,0.002188059,0.00006124604,0.00003957963,0.006850056,0.0001665621,0.983042],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9832357,"threshold_uncertainty_score":0.6352296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007055285658341737,"score_gpt":0.1978971314092803,"score_spread":0.1908418457509385,"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."}}