{"id":"W7014706252","doi":"","title":"ReneSola Expands into Canada - NYSE (NYSE0001) News","year":2014,"lang":"en","type":"other","venue":"","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Feature (linguistics); Economic forecasting","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004232411,0.0002350091,0.0004461568,0.0001642157,0.00003397535,0.000003596827,0.0001369709,0.007185736,0.01149749],"category_scores_gemma":[0.00002981992,0.0001633121,0.00006487806,0.0001162005,0.00008706268,0.000005122081,0.00004379895,0.002043721,0.0002532298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005807673,"about_ca_system_score_gemma":0.0004789262,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7273685,"about_ca_topic_score_gemma":0.8801548,"domain_scores_codex":[0.9991333,0.00001611152,0.0001811665,0.0002961549,0.0001485518,0.0002246823],"domain_scores_gemma":[0.9991852,0.00001668577,0.00008445614,0.0005717684,0.00001628824,0.0001255925],"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":[0.00001562705,0.00001743051,0.0001819138,0.00008274078,0.0001571738,0.00008217064,0.000009195119,5.524559e-8,0.0000630762,0.0009712629,0.9931562,0.005263165],"study_design_scores_gemma":[0.0005836574,0.00007514577,0.00003415942,0.0002375812,0.0001162242,0.00005533093,0.0000392688,0.000008083789,0.0003820773,0.00004067054,0.9982325,0.000195271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004018436,0.002189338,0.0003976766,0.0203426,0.000919592,0.0001968535,0.00000298021,0.0003873841,0.9755234],"genre_scores_gemma":[0.001637005,0.001292563,0.0007767619,0.006103568,0.0004365275,0.000008668075,0.00005813033,0.0002149639,0.9894718],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1527864,"threshold_uncertainty_score":0.9941031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003322373824077121,"score_gpt":0.2126897981662105,"score_spread":0.2093674243421333,"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."}}