{"id":"W7017696217","doi":"","title":"Canadian Solar to Attend Credit Suisse 19th Annual Asian Investment Conference in Hong Kong - NASDAQ (NASDAQ01) News","year":2016,"lang":"en","type":"other","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); China; Government (linguistics); Trend analysis","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":[0.001204388,0.0008554767,0.0006061046,0.001140244,0.004841224,0.008013252,0.00085244,0.003828022,0.25036],"category_scores_gemma":[0.003031525,0.0004423682,0.000644769,0.001451483,0.0006393099,0.001529294,0.001201307,0.004051866,0.07851177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01029099,"about_ca_system_score_gemma":0.02538452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6041763,"about_ca_topic_score_gemma":0.8414268,"domain_scores_codex":[0.9987281,0.00003802601,0.0000230342,0.00006480181,0.0008183326,0.0003278487],"domain_scores_gemma":[0.9973195,0.00008883836,0.00005483015,0.00009221611,0.001611957,0.0008327668],"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":[0.00001355557,0.000006061202,0.0001290549,0.000008266033,9.378668e-7,0.00002052989,0.00001130344,0.00001609189,0.0000171108,0.000630993,0.9957651,0.003381054],"study_design_scores_gemma":[0.000007179005,0.000004692879,0.001001971,0.00001868878,0.000001427705,0.00000794179,0.00008096193,0.00004047122,0.0000434081,0.0001109362,0.9986774,0.000004842992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003240952,0.003917368,0.0003255418,0.08486992,0.03291487,0.0002173137,0.009859896,0.001008704,0.8636456],"genre_scores_gemma":[0.002825215,0.0007207276,0.00007049066,0.001749341,0.0006967321,0.00001367572,0.0008450724,0.00010175,0.992977],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3958237,"threshold_uncertainty_score":0.8375378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06929935495644846,"score_gpt":0.3492205375871561,"score_spread":0.2799211826307076,"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."}}