{"id":"W7006721985","doi":"","title":"What to watch in third quarter earnings from U.S. companies","year":2019,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Quarter (Canadian coin); Work (physics); Payment","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":[0.0005762329,0.0002361932,0.0001636565,0.001988466,0.0008186845,0.002161287,0.0002603105,0.0009939153,0.04549243],"category_scores_gemma":[0.00371257,0.0000987712,0.0002474565,0.001975627,0.0002171051,0.001413635,0.0006400425,0.0007581511,0.01521066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008560136,"about_ca_system_score_gemma":0.001077925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02666351,"about_ca_topic_score_gemma":0.05997508,"domain_scores_codex":[0.9997115,0.0000269848,0.00002217532,0.00002827142,0.0001454947,0.00006561972],"domain_scores_gemma":[0.9973522,0.0002992123,0.0005501647,0.00006400767,0.0008652548,0.0008690908],"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":[0.00006388036,0.00002586963,0.01410923,0.0001010637,0.000008556256,0.00007263189,0.00009478082,0.0000244271,0.0001401911,0.0007857984,0.8984262,0.08614744],"study_design_scores_gemma":[0.00003699295,0.00008724952,0.1812979,0.001526795,0.00004443522,0.0004154888,0.003384542,0.0002111929,0.0007559711,0.001561583,0.8106332,0.00004454289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.114157,0.07924175,0.0006347129,0.322084,0.02989411,0.0001070081,0.04241049,0.002251473,0.4092194],"genre_scores_gemma":[0.4303076,0.06112565,0.001644024,0.05272044,0.01165,0.00009853887,0.02018306,0.0006959342,0.4215748],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04549243,"threshold_uncertainty_score":0.1521873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00526056596298206,"score_gpt":0.2485889573597698,"score_spread":0.2433283913967877,"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."}}