{"id":"W7045782070","doi":"","title":"Canada and FCM invest in green projects in four New Brunswick communities \\n\\tTamar Securities Financial Portal Home","year":2020,"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":"Work (physics); Financial services; Financial stability; Financial plan; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008388686,0.0008811669,0.0004229981,0.002202044,0.004451058,0.005520281,0.0009330403,0.002034498,0.471111],"category_scores_gemma":[0.001743753,0.0005498684,0.0006371084,0.001711026,0.0008014155,0.001608479,0.001971477,0.002021051,0.1944009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01394379,"about_ca_system_score_gemma":0.04023465,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7483734,"about_ca_topic_score_gemma":0.9052044,"domain_scores_codex":[0.9991516,0.00001815555,0.000008165353,0.00005426938,0.0004245229,0.0003433095],"domain_scores_gemma":[0.9971352,0.00008550497,0.00005094655,0.0001386499,0.001175961,0.001413744],"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":[0.00004524171,0.00004154183,0.000595462,0.00001832051,0.000003513541,0.00004021092,0.00003046479,0.000079186,0.0001799092,0.006045725,0.9793549,0.01356558],"study_design_scores_gemma":[0.00001882267,0.00001063772,0.001749692,0.0000186272,0.000002236756,0.00001616328,0.0001261324,0.0002311639,0.0003236571,0.0006250468,0.9968681,0.000009666855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003214693,0.0002109246,0.0004363791,0.00338211,0.0006349787,0.0001068632,0.02214505,0.001398503,0.9684704],"genre_scores_gemma":[0.003477776,0.0001030148,0.0003301112,0.0003499788,0.00002298044,0.0000146133,0.004120826,0.0003293747,0.9912513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.471111,"threshold_uncertainty_score":0.754396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575041669635634,"score_gpt":0.2190402341938232,"score_spread":0.2032898174974669,"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."}}