{"id":"W7036805702","doi":"","title":"Canada Wind Power Market Research Report, Overview, Analysis, Forecast, Share : Ken Research","year":2018,"lang":"en","type":"other","venue":"","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Market power; Market research; Boom; Wind power; Power (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":[0.001598399,0.001092058,0.0005798084,0.006878639,0.001351378,0.004094643,0.001283903,0.0007328885,0.0402067],"category_scores_gemma":[0.004620334,0.0005663432,0.0006892742,0.01581348,0.0004266558,0.001885796,0.0006797162,0.001287436,0.01124985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02445125,"about_ca_system_score_gemma":0.05878311,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9769312,"about_ca_topic_score_gemma":0.9835967,"domain_scores_codex":[0.9978846,0.00003239885,0.00005415747,0.0001090522,0.001694589,0.0002253499],"domain_scores_gemma":[0.9918624,0.0002807374,0.0002791127,0.0001899517,0.006994347,0.0003933875],"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":[0.0001081978,0.00006305238,0.008306738,0.0002103729,0.00004597349,0.00005064362,0.0000707222,0.002036166,0.0002530339,0.003381844,0.9387829,0.04669029],"study_design_scores_gemma":[0.00007953462,0.00003415728,0.06527887,0.0003358287,0.000101134,0.00005076956,0.0004040949,0.006237746,0.002471665,0.001891918,0.923021,0.00009332707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01961644,0.006459129,0.00358387,0.009185693,0.0009299472,0.0006283825,0.7047687,0.002007676,0.2528201],"genre_scores_gemma":[0.07991158,0.01383022,0.005947848,0.0008916855,0.0004286667,0.0002706645,0.398713,0.001085895,0.4989204],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0402067,"threshold_uncertainty_score":0.1774071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107957331644933,"score_gpt":0.3531169611105895,"score_spread":0.2423212279460962,"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."}}