{"id":"W7071302990","doi":"","title":"Spectra Energy Corporation (via Public) / Spectra Energy and Spectra Energy Partners Schedule Fourth Quarter 2016 Earnings Releases","year":2017,"lang":"en","type":"other","venue":"","topic":"SAS software applications and methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Earnings; Spectral line; Schedule; Energy (signal processing); Quarter (Canadian coin)","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000213884,0.0008238812,0.0007723101,0.0006222996,0.0002121227,0.0003677767,0.0005030868,0.0007110209,0.002596748],"category_scores_gemma":[0.00004896619,0.0007958771,0.0002065876,0.0002582031,0.0002051494,0.0003240055,0.00007297796,0.0002827706,0.00005133793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001458089,"about_ca_system_score_gemma":0.0001578598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502563,"about_ca_topic_score_gemma":0.004584282,"domain_scores_codex":[0.9973519,0.0001024819,0.0004843673,0.0009119916,0.0003726058,0.0007766347],"domain_scores_gemma":[0.9976223,0.0001318712,0.000413096,0.001342596,0.00007934471,0.0004107877],"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":[0.00001202105,0.00008108249,0.00009566685,0.00006870931,0.000366676,0.00002498561,0.00003615126,0.00007431926,0.001653263,0.1302838,0.7974694,0.06983388],"study_design_scores_gemma":[0.0004755273,0.00009078994,0.0000722578,0.0001062345,0.00008912558,0.00005042017,0.00002618732,0.002751379,0.003856941,0.002506712,0.9889762,0.0009982458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0000150686,0.002507447,0.5607839,0.0001465261,0.0004132092,0.0001034067,0.00002560962,0.0012043,0.4348006],"genre_scores_gemma":[0.01175966,0.01319064,0.1301924,0.0003184135,0.003239395,0.0003936836,0.0006788191,0.001443948,0.838783],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4305915,"threshold_uncertainty_score":0.9994492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181016501992119,"score_gpt":0.2537042200611887,"score_spread":0.2356025698619768,"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."}}