{"id":"W2611010980","doi":"","title":"TL profits beat estimates from analysts in quarter","year":2017,"lang":"en","type":"article","venue":"Transport topics","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Beat (acoustics); Business; Economics; Econometrics; Physics; History; Acoustics","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":[],"consensus_categories":[],"category_scores_codex":[0.00005549098,0.00008477863,0.0001351802,0.00003082678,0.00004939372,0.00001805124,0.0001704958,0.00006521191,0.00005715436],"category_scores_gemma":[0.000005669006,0.00008330991,0.00003519184,0.0000353686,0.00001927878,0.00008549734,0.000003388397,0.00008332106,0.00001548504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001551305,"about_ca_system_score_gemma":0.000007065023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002716167,"about_ca_topic_score_gemma":0.0003760628,"domain_scores_codex":[0.9995542,0.000002952058,0.0001428933,0.0001172748,0.00005606851,0.0001266167],"domain_scores_gemma":[0.9995023,0.00001684077,0.00001746186,0.0004152525,0.00001118275,0.00003694678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003568284,0.00002507075,0.9502625,0.00004077425,0.00003434647,0.00002001999,0.0007212773,0.0008945438,0.001072324,0.0004366834,0.0001494464,0.04633941],"study_design_scores_gemma":[0.0002103699,0.000005332966,0.9839243,0.00002173274,0.00002426647,5.101688e-7,0.00001947207,0.002037457,0.003673496,0.001172266,0.00878154,0.0001293095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412075,0.0001885658,0.05399306,0.000181084,0.0001761106,0.0001378726,0.0000201801,0.00017192,0.003923661],"genre_scores_gemma":[0.9545887,0.00003404543,0.04506367,0.00001708173,0.00009194193,0.00003465453,0.00003250869,0.00001379491,0.000123657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0462101,"threshold_uncertainty_score":0.339728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02214483591219065,"score_gpt":0.2855671132203194,"score_spread":0.2634222773081287,"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."}}