{"id":"W7037719850","doi":"","title":"EverWind Fuels Supports Nova Scotia's Offshore Wind Roadmap","year":2023,"lang":"en","type":"other","venue":"","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nova (rocket); Submarine pipeline; Offshore wind power; Work (physics); Renewable energy","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":[0.0005474829,0.0003343933,0.0001861464,0.0007451625,0.001134504,0.001560598,0.0005436147,0.0004946735,0.1774011],"category_scores_gemma":[0.00149197,0.0001998503,0.000194964,0.0006386011,0.0002280074,0.0003508349,0.001198097,0.0005499033,0.04299615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002229045,"about_ca_system_score_gemma":0.01000572,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6940247,"about_ca_topic_score_gemma":0.8756784,"domain_scores_codex":[0.9997202,0.00001771334,0.000007767311,0.00002412208,0.0001403475,0.00008984168],"domain_scores_gemma":[0.9983094,0.00008597727,0.00004719035,0.0001316145,0.0009552884,0.0004704896],"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":[0.0001241294,0.00004103289,0.004518698,0.00008047177,0.00000767669,0.0001668717,0.0001075569,0.0003528177,0.0005418726,0.0021978,0.9393868,0.05247431],"study_design_scores_gemma":[0.00002717035,0.00001126115,0.01493655,0.00006985069,0.000002980846,0.00002085151,0.0001514514,0.000381164,0.0001550396,0.0001749477,0.9840633,0.000005377428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01185829,0.0006141979,0.0007830504,0.002136871,0.00121504,0.0003024491,0.0405733,0.001315364,0.9412015],"genre_scores_gemma":[0.02129582,0.0003453797,0.001548402,0.0005201378,0.0000733336,0.0001120031,0.01526441,0.0005474186,0.960293],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3059753,"threshold_uncertainty_score":0.6155544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877494602468043,"score_gpt":0.2336193904109657,"score_spread":0.2048444443862852,"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."}}