{"id":"W6906696138","doi":"10.18164/906590d1-0915-4f67-9045-19e21178c85b","title":"Data collected under the Fuels Information Regulations, No. 1","year":2017,"lang":"en","type":"dataset","venue":"ECCC Data Catalogue","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"GDG Environnement; Environment and Climate Change Canada","funders":"","keywords":"Coal; Production (economics); Climate change; Fossil fuel; Asphalt; Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.002766966,0.0008333654,0.0007464394,0.0005038232,0.001757038,0.002147163,0.02778094,0.0007298617,0.0007060857],"category_scores_gemma":[0.005949431,0.0006545953,0.00006921439,0.0006560415,0.0006990321,0.01101424,0.01674175,0.001316185,0.1417418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032433,"about_ca_system_score_gemma":0.001758634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009278521,"about_ca_topic_score_gemma":0.04730891,"domain_scores_codex":[0.994818,0.0004128195,0.001242048,0.001361421,0.001377837,0.0007879151],"domain_scores_gemma":[0.9483591,0.0004844082,0.002099613,0.04829815,0.0005473649,0.000211384],"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":[0.0000608304,0.00007445948,0.000002418941,0.0001400846,0.0003549015,0.000008957886,0.00001925224,0.00001087592,0.000002647421,0.00002081228,0.99917,0.0001347678],"study_design_scores_gemma":[0.0007132746,0.00002190593,0.001143652,0.0001497209,0.0006785442,0.00007325546,0.00005042407,0.0007212773,0.000001571609,0.00007637274,0.9955813,0.0007887189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003484194,0.0003468501,0.0001049006,0.0004430152,0.002007654,0.001555294,0.9950188,0.000230759,0.0002892621],"genre_scores_gemma":[0.0000144741,0.0002523394,0.0002714058,0.0005492188,0.001100829,0.00008798279,0.9970812,0.0001103818,0.0005322188],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1410357,"threshold_uncertainty_score":0.9995905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09113786581540269,"score_gpt":0.3384985791209802,"score_spread":0.2473607133055776,"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."}}