{"id":"W7017155516","doi":"","title":"Advisory Correction - Change of Date and Time for Innergex 2019 Third Quarter Results Conference Call and Webcast","year":2019,"lang":"en","type":"other","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Webcast; Quarter (Canadian coin); Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00678826,0.001305891,0.001641277,0.004886191,0.003273354,0.01121573,0.002630478,0.008812112,0.7096565],"category_scores_gemma":[0.05479953,0.0009060666,0.001854482,0.002594647,0.0009356304,0.003049471,0.003809849,0.006989031,0.5874716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004214455,"about_ca_system_score_gemma":0.01012756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303942,"about_ca_topic_score_gemma":0.04432732,"domain_scores_codex":[0.9924533,0.0008509452,0.0004877708,0.0006431896,0.00419879,0.001365969],"domain_scores_gemma":[0.945663,0.006337338,0.001476744,0.004722584,0.03654436,0.005255837],"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":[0.00003340067,0.000007601732,0.00003725855,0.00001592318,0.000001208645,0.00001060733,0.000004061691,0.00001151335,0.00001841121,0.0002089329,0.9960623,0.003588735],"study_design_scores_gemma":[0.00004961485,0.00001488,0.0006372586,0.0001181049,0.000005343089,0.00001471706,0.00005721362,0.0001647912,0.0001518169,0.0008710372,0.9978967,0.00001851544],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001074258,0.0008914706,0.002798595,0.07969745,0.4486022,0.0009810923,0.05063848,0.009449797,0.4058666],"genre_scores_gemma":[0.00174408,0.0001975421,0.0008879497,0.007496133,0.008426332,0.0002522148,0.007841556,0.001489461,0.9716647],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7096565,"threshold_uncertainty_score":0.4141397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04753645621567226,"score_gpt":0.2120026750191544,"score_spread":0.1644662188034822,"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."}}