{"id":"W7045929021","doi":"","title":"Canada's wind energy industry targets growth and opportunity at Fall event","year":2019,"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":"Event (particle physics); Wind power; Energy (signal processing); Field (mathematics); 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":[0.0008535449,0.0008322738,0.0003897894,0.001360252,0.006743418,0.005078008,0.001383331,0.004233619,0.1433374],"category_scores_gemma":[0.001875343,0.0004391337,0.0006537829,0.0009730017,0.0009067329,0.0007735493,0.001787671,0.002684984,0.03621994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02520699,"about_ca_system_score_gemma":0.1001216,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9616038,"about_ca_topic_score_gemma":0.9877484,"domain_scores_codex":[0.998467,0.00002819842,0.00001106585,0.00005475009,0.0009086988,0.0005303072],"domain_scores_gemma":[0.9968713,0.00007087829,0.00004645812,0.00006200418,0.001702032,0.001247373],"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":[0.00005284285,0.00003359659,0.0007742651,0.00003078113,0.000003615844,0.00004660885,0.0000262663,0.0001357239,0.0001882373,0.003724511,0.9869457,0.008037888],"study_design_scores_gemma":[0.00003620881,0.00002470444,0.005421637,0.00006975199,0.000005667571,0.00002057257,0.0002230068,0.0004650011,0.0004254903,0.001197751,0.9920928,0.00001734603],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004922432,0.0006815725,0.0006274158,0.01988633,0.002627705,0.0002826517,0.02709302,0.0009533477,0.9429256],"genre_scores_gemma":[0.01437385,0.0004174631,0.0003879176,0.003135904,0.0001616077,0.00004245107,0.005204774,0.0002128115,0.9760632],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1433374,"threshold_uncertainty_score":0.4795115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009979881238410907,"score_gpt":0.2248742275503356,"score_spread":0.2148943463119247,"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."}}