{"id":"W6968701263","doi":"10.5281/zenodo.6633825","title":"Ovintiv data analysis","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Sustainability and Innovation in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Natural gas industry; Corporation; Petroleum industry; Oil and natural gas; Fossil fuel; Production (economics); Capital (architecture); Cash flow","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":[0.005938268,0.001056517,0.001932309,0.006412195,0.001264473,0.004078499,0.002301983,0.00104771,0.4275181],"category_scores_gemma":[0.03935719,0.0008223935,0.001074611,0.009110563,0.0007749017,0.002600454,0.003544431,0.002695612,0.1552081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002102012,"about_ca_system_score_gemma":0.006921006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008460422,"about_ca_topic_score_gemma":0.009029069,"domain_scores_codex":[0.9929476,0.001196485,0.00140817,0.001486467,0.002217176,0.0007441192],"domain_scores_gemma":[0.9769568,0.005177076,0.002370987,0.00374891,0.01096734,0.0007789969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004907605,0.0001205329,0.002577317,0.001543873,0.00004419219,0.00006301532,0.0003934719,0.0002627427,0.0002394669,0.003479526,0.9480874,0.04269773],"study_design_scores_gemma":[0.0002489232,0.0001470647,0.01048585,0.001112614,0.00003918463,0.0000525127,0.0007463713,0.000608634,0.0005246752,0.003895816,0.9820814,0.00005697602],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003580224,0.0001807412,0.004837817,0.0009622111,0.0005208681,0.005027946,0.9174512,0.005056244,0.06238268],"genre_scores_gemma":[0.0270269,0.0006165693,0.03367252,0.001861421,0.0002958572,0.05698399,0.7927958,0.008453419,0.07829352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4275181,"threshold_uncertainty_score":0.8165759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06460685755155564,"score_gpt":0.2537469902786804,"score_spread":0.1891401327271247,"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."}}