{"id":"W7057893557","doi":"","title":"Lanfine Wind to generate energy for more than 25,000 Alberta homes","year":2022,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Wind power; Energy consumption; Renewable energy; Work (physics)","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":[0.000275569,0.0004793511,0.0001226342,0.0007960363,0.003433958,0.001920592,0.0005405634,0.0009919726,0.2459171],"category_scores_gemma":[0.000398382,0.0002267364,0.0002901664,0.0006019828,0.000409328,0.0005404479,0.001443601,0.001040209,0.04577909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005505712,"about_ca_system_score_gemma":0.01342064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5204678,"about_ca_topic_score_gemma":0.8697174,"domain_scores_codex":[0.9997531,0.000008476183,0.000001568259,0.00001740252,0.0001480285,0.00007148332],"domain_scores_gemma":[0.9997161,0.000008817999,0.000003905031,0.00001353639,0.000144815,0.0001127418],"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":[0.00006105065,0.00008010551,0.001434353,0.00004471198,0.000005805581,0.0001232039,0.00007727763,0.0002771145,0.001149299,0.01368338,0.8952284,0.08783537],"study_design_scores_gemma":[0.00002425773,0.00001304776,0.002151126,0.00002960188,0.000002996552,0.00002832473,0.000246137,0.0002247861,0.0002456978,0.001049684,0.9959786,0.000005684667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004766973,0.0005229859,0.0007334158,0.002920293,0.0007521731,0.00009131895,0.001734315,0.0006753654,0.9878032],"genre_scores_gemma":[0.00761864,0.0002986702,0.001014305,0.0004406254,0.00004390287,0.00001720516,0.0007655216,0.0001286451,0.9896724],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4795322,"threshold_uncertainty_score":0.9647125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00955573481759231,"score_gpt":0.2572327155423978,"score_spread":0.2476769807248055,"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."}}