{"id":"W7027110230","doi":"","title":"Canadian Solar Announces $100 Million Term Loan with Credit Suisse - Commodities (COMMODIT) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Term (time); Loan; Term loan; Government (linguistics); Payment","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":[0.0007832869,0.0006973137,0.0003790769,0.001498028,0.004283288,0.005936233,0.0008950091,0.003478163,0.3197873],"category_scores_gemma":[0.002336478,0.0003248983,0.0008162938,0.001366305,0.001088718,0.001203545,0.001345689,0.002740314,0.07668965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01195487,"about_ca_system_score_gemma":0.02346029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7557842,"about_ca_topic_score_gemma":0.9162194,"domain_scores_codex":[0.9984856,0.00002554759,0.00001475489,0.00005398026,0.001157772,0.0002623636],"domain_scores_gemma":[0.9981345,0.00006577495,0.00003136542,0.00006958166,0.001200115,0.0004986332],"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":[0.00001309637,0.000007596923,0.00007775125,0.00001072268,0.000001115475,0.00002315699,0.00001179352,0.00001814771,0.00005489403,0.001696198,0.9909624,0.007123146],"study_design_scores_gemma":[0.000005256683,0.000003577738,0.000647909,0.00001389362,0.000001388654,0.000009154905,0.00004749183,0.00003394716,0.00006645302,0.0003289564,0.9988367,0.000005270528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001347471,0.001787267,0.0002866875,0.02814206,0.008464569,0.00008907571,0.005224858,0.0007705446,0.9538875],"genre_scores_gemma":[0.002598438,0.0006016492,0.000133208,0.001923285,0.0004165809,0.000008265757,0.0009617761,0.00009470434,0.9932621],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3197873,"threshold_uncertainty_score":0.9702409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02149314580925865,"score_gpt":0.2158176281021659,"score_spread":0.1943244822929072,"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."}}