{"id":"W7065782306","doi":"","title":"FFW Corporation Announces First Quarter Earnings and Stock Repurchase Program","year":2017,"lang":"en","type":"other","venue":"","topic":"Astrophysical Phenomena and Observations","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Corporation; Quarter (Canadian coin); Stock (firearms); Stock exchange","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":[0.001730863,0.000793866,0.0004622254,0.00282792,0.001373217,0.004531862,0.001130567,0.00216945,0.1400458],"category_scores_gemma":[0.004624811,0.0003608812,0.0003965115,0.001280026,0.0004118852,0.001604153,0.001013449,0.00212208,0.09443575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002069276,"about_ca_system_score_gemma":0.004526429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04326682,"about_ca_topic_score_gemma":0.07343905,"domain_scores_codex":[0.998703,0.00004681129,0.00003362603,0.0001018205,0.0008565595,0.0002581503],"domain_scores_gemma":[0.9966919,0.0003122286,0.0002923869,0.0002812874,0.001576429,0.0008457204],"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":[0.0001741427,0.0002475543,0.002163457,0.00002435894,0.000004952019,0.00008628436,0.000019468,0.0001325331,0.0003483136,0.00231057,0.9653536,0.02913473],"study_design_scores_gemma":[0.0001216651,0.0001313956,0.03316206,0.00005792995,0.00001116051,0.00006092432,0.00008707635,0.001294103,0.002260207,0.001573364,0.9612002,0.00003978404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0148039,0.0006238588,0.001180793,0.007354462,0.001965395,0.0004585537,0.07057647,0.005190278,0.8978463],"genre_scores_gemma":[0.0146806,0.0002670652,0.0003978102,0.0006819377,0.0005580974,0.00009258426,0.0210113,0.0004766537,0.9618341],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1400458,"threshold_uncertainty_score":0.4684997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159052938535739,"score_gpt":0.2569944147489627,"score_spread":0.2410891208953888,"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."}}