{"id":"W7014214623","doi":"","title":"Ontario´s energy minister takes heat for quoting from magazine casting doubt on climate change\\n(The Star Canada)","year":2019,"lang":"en","type":"other","venue":"","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Casting; Star (game theory); Energy (signal processing); Climate change","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004059661,0.0003907873,0.0007013104,0.0002258654,0.0001395589,0.00003494918,0.0003035267,0.000211369,0.0039467],"category_scores_gemma":[0.0001233162,0.0002285797,0.0001134389,0.0001533744,0.0001272621,0.00002942605,0.00006448849,0.0003605051,0.0000708669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004222615,"about_ca_system_score_gemma":0.001208177,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9452964,"about_ca_topic_score_gemma":0.9935212,"domain_scores_codex":[0.9969764,0.00003572539,0.0003363676,0.0006606181,0.001108725,0.0008821037],"domain_scores_gemma":[0.9983517,0.0003834572,0.000138604,0.0006917545,0.0001054081,0.0003290571],"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":[0.0003869231,0.00007164074,0.003149464,0.0003852171,0.000167633,0.000174506,0.0009272519,4.60292e-7,0.0004001471,0.0004203921,0.9775226,0.01639378],"study_design_scores_gemma":[0.001795269,0.0004621192,0.001234839,0.001474776,0.0001211714,0.00001986066,0.0008498852,0.000284068,0.0001495459,0.000003069481,0.9933535,0.0002518488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002447956,0.001226871,0.00009456409,0.007685666,0.002078761,0.001594107,0.0002142615,0.00008760236,0.9845702],"genre_scores_gemma":[0.004526495,0.0001363223,0.0007473506,0.0114503,0.003380749,0.0001333871,0.000281954,0.0002755034,0.9790679],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0482247,"threshold_uncertainty_score":0.9969638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06472603130160488,"score_gpt":0.2966925215655791,"score_spread":0.2319664902639742,"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."}}