{"id":"W7045941511","doi":"","title":"Canada's Enbridge bets big on natural gas in $14bn deal","year":2023,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Natural gas; Natural (archaeology); Gas industry; Work (physics); Big data","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":["insufficient_payload"],"category_scores_codex":[0.0008874129,0.001013921,0.0007749526,0.002104978,0.007553504,0.007343435,0.00135388,0.005672336,0.5100679],"category_scores_gemma":[0.002108971,0.0007909099,0.001102766,0.001284225,0.001655081,0.00167927,0.002505879,0.003946181,0.2272986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01679037,"about_ca_system_score_gemma":0.03799069,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8434219,"about_ca_topic_score_gemma":0.9546489,"domain_scores_codex":[0.9983931,0.00003259305,0.00001317094,0.00008983998,0.001048788,0.0004224099],"domain_scores_gemma":[0.9980108,0.00007716221,0.00002043016,0.00007662368,0.0009243969,0.0008905773],"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":[0.00001830144,0.00001388989,0.00009028574,0.00001027049,0.000001684784,0.00001698719,0.00001029024,0.000037101,0.00006445321,0.002503377,0.9928347,0.004398779],"study_design_scores_gemma":[0.00001033523,0.000005560895,0.0004510677,0.00002026412,0.00000201216,0.000007122899,0.00007279325,0.00005892678,0.00006622069,0.0005991423,0.9986992,0.000007330791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00104422,0.0007403729,0.0003426296,0.01153804,0.004195056,0.00009372977,0.005810165,0.0007408627,0.9754949],"genre_scores_gemma":[0.001087737,0.0001281567,0.00007062074,0.001170353,0.00007394662,0.000009100851,0.0004928897,0.0001133699,0.9968539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4899321,"threshold_uncertainty_score":0.6988286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0103458730984529,"score_gpt":0.2441972966914507,"score_spread":0.2338514235929978,"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."}}