{"id":"W7019310318","doi":"","title":"Fortis Reports Strong Third Quarter Earnings of $151 Million; $1.7 Billion in Capital Invested Year to Date - Mergers and Acquisitions (MERGERAC) News","year":2015,"lang":"en","type":"other","venue":"","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Mergers and acquisitions; Quarter (Canadian coin); Capital (architecture); Margin (machine learning)","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":[0.001363446,0.000563134,0.0003606174,0.001269108,0.006719545,0.006431539,0.001046479,0.01635352,0.1014653],"category_scores_gemma":[0.005617503,0.0003694029,0.0006419837,0.0008252737,0.001380614,0.00140011,0.00154279,0.007767042,0.02696597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004499136,"about_ca_system_score_gemma":0.007485454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05981529,"about_ca_topic_score_gemma":0.1569593,"domain_scores_codex":[0.998434,0.0001785542,0.00005515358,0.0001327517,0.0007571987,0.0004423361],"domain_scores_gemma":[0.9966872,0.001417354,0.0002237169,0.0001121117,0.0009304007,0.0006291944],"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":[0.00001166709,0.000008743023,0.0001487005,0.00002211796,0.000002226535,0.0001590359,0.0000448988,0.00001124437,0.00007687864,0.00467827,0.9909285,0.003907825],"study_design_scores_gemma":[0.00001458668,0.00001608623,0.001560849,0.0001213834,0.000006797139,0.0001098245,0.0001946065,0.00004572861,0.0002088699,0.0009987367,0.9967086,0.00001378293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002576973,0.006427741,0.0001319342,0.3965787,0.01505387,0.000067605,0.001742844,0.0003286509,0.5770917],"genre_scores_gemma":[0.01905984,0.00360883,0.0001776125,0.1872657,0.01191598,0.00007027094,0.0007140052,0.0001229872,0.7770648],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1014653,"threshold_uncertainty_score":0.3394353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535877867344244,"score_gpt":0.270397974633036,"score_spread":0.2550391959595936,"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."}}