{"id":"W7083868412","doi":"","title":"Survey: Top CEOs report weaker economic outlook for 1Q","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fell; Quarter (Canadian coin); Ninth; Investment (military); Index (typography); Capital (architecture); Economic 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009170613,0.0003156358,0.0002373722,0.002489214,0.0008420828,0.001608842,0.0003230312,0.0006278639,0.05951285],"category_scores_gemma":[0.004845228,0.0001558486,0.0002569993,0.00366322,0.0001816294,0.00105243,0.0008920382,0.0007450393,0.03176254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008637168,"about_ca_system_score_gemma":0.001108921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015117,"about_ca_topic_score_gemma":0.02133002,"domain_scores_codex":[0.9985704,0.0000978848,0.0001237645,0.0001226962,0.0008098418,0.0002753341],"domain_scores_gemma":[0.9924045,0.0005121899,0.002097755,0.0001915867,0.003618094,0.001175878],"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":[0.00003977921,0.00005160592,0.06959762,0.0001603197,0.000009178152,0.00004310734,0.0001363685,0.00002729277,0.0001511254,0.0003815888,0.9076993,0.02170274],"study_design_scores_gemma":[0.00002950192,0.0000627347,0.4901895,0.0001322757,0.00001441991,0.0001769713,0.001100014,0.0001165732,0.0003058132,0.0001506676,0.5076963,0.00002519153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1695643,0.003099416,0.0005453063,0.02347291,0.001808554,0.0004069436,0.4480427,0.001382888,0.3516769],"genre_scores_gemma":[0.3903514,0.005387925,0.00080394,0.015539,0.002008533,0.000840352,0.3002215,0.0003679547,0.2844794],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9404871,"threshold_uncertainty_score":0.1990903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01819429567019955,"score_gpt":0.2428925210934628,"score_spread":0.2246982254232632,"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."}}