{"id":"W7019293310","doi":"","title":"FY2020 EPS Estimates for Power Co. of Canada Boosted by Analyst (TSE:POW)","year":2019,"lang":"en","type":"other","venue":"","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Power (physics); Feature (linguistics); Production (economics); Key (lock)","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":[0.001688217,0.00162781,0.0005397332,0.001627899,0.002405292,0.004747964,0.001345101,0.002860069,0.2769961],"category_scores_gemma":[0.00332383,0.0005437085,0.0005858472,0.001118192,0.0007405476,0.002414013,0.001944658,0.003135953,0.196399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01182395,"about_ca_system_score_gemma":0.03210355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4520302,"about_ca_topic_score_gemma":0.579554,"domain_scores_codex":[0.9983033,0.00004278153,0.00002569237,0.00009367266,0.001219501,0.0003151119],"domain_scores_gemma":[0.9959463,0.00006331753,0.00007557642,0.00009402166,0.003042632,0.0007781171],"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":[0.00004536689,0.00001438723,0.00009760654,0.00004472991,0.000002089703,0.00001821505,0.000007758556,0.00005807829,0.0001982841,0.002749987,0.9858877,0.01087574],"study_design_scores_gemma":[0.00001077058,0.00001531368,0.0007992117,0.00005037211,0.000002475192,0.00001991592,0.00004700461,0.0001395643,0.0003715401,0.0006798044,0.997857,0.000006962201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002257723,0.002092372,0.002257871,0.021608,0.009213389,0.0002423369,0.06275733,0.002610222,0.8969607],"genre_scores_gemma":[0.004861983,0.0009927081,0.001142529,0.001445109,0.0002186914,0.00005113933,0.01245542,0.0006251248,0.9782073],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5479698,"threshold_uncertainty_score":0.9266443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004275780719033707,"score_gpt":0.2185855266899455,"score_spread":0.2143097459709118,"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."}}