{"id":"W7067735588","doi":"","title":"National Bank of Canada FI Cuts Stock Position in SPDR S&P Software & Services ETF (NYSEARCA:XSW)","year":2023,"lang":"en","type":"other","venue":"","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Position (finance); Stock (firearms); Software; National bank; Financial services","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002268287,0.0003083931,0.0003396583,0.0004069855,0.0001066409,0.0001083223,0.0010216,0.0001646286,0.001100051],"category_scores_gemma":[0.00002944695,0.0003260822,0.0001018752,0.001114263,0.00003811453,0.0001610264,0.0003323591,0.0002599584,0.0006423966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913686,"about_ca_system_score_gemma":0.001570284,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2729052,"about_ca_topic_score_gemma":0.9186485,"domain_scores_codex":[0.9972993,0.00006847711,0.0004466961,0.0006477757,0.001201273,0.0003365019],"domain_scores_gemma":[0.9981108,0.0003852211,0.0003187871,0.000673202,0.0003754194,0.000136582],"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":[0.000005002571,0.0001488741,0.000294783,0.0002007156,0.00008555938,0.000002413988,0.000224459,0.003299389,0.0000489234,0.06043997,0.9317892,0.003460706],"study_design_scores_gemma":[0.0003081341,0.000007864372,0.004732697,0.0002541548,0.0000104785,0.000007826682,0.000006847531,0.003067002,0.000008450587,0.04344345,0.9475778,0.0005753448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.001061176,0.0003752683,0.6378042,0.005421695,0.001217371,0.00166627,0.001780824,0.001287002,0.3493862],"genre_scores_gemma":[0.006315127,0.00007340893,0.1799188,0.001934883,0.0007316444,0.0003018982,0.003034084,0.0005528074,0.8071373],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6457433,"threshold_uncertainty_score":0.9999191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578042650230032,"score_gpt":0.2877847864416994,"score_spread":0.2620043599393991,"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."}}