{"id":"W7037021359","doi":"","title":"A debate on the energy economy- and Canada moving forward.","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wilderness; Energy (signal processing); Climate change; Environmental impact of the energy industry; Energy policy","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":[],"consensus_categories":[],"category_scores_codex":[0.001706353,0.0007042479,0.0005161092,0.001168045,0.01926353,0.01327732,0.001827755,0.009904752,0.065586],"category_scores_gemma":[0.005483091,0.0004453598,0.0005128938,0.003234104,0.00618842,0.007078852,0.002959851,0.009120008,0.008001972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05982687,"about_ca_system_score_gemma":0.1316777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9773167,"about_ca_topic_score_gemma":0.9917673,"domain_scores_codex":[0.9967052,0.0002225113,0.00004167727,0.0002336872,0.001700937,0.001095933],"domain_scores_gemma":[0.9969235,0.0003905071,0.00005808633,0.0001077271,0.001629591,0.0008905696],"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":[0.00001731188,0.00000762236,0.0002311555,0.00003929247,0.000003207097,0.00005284295,0.0005803895,0.00005132511,0.00006567762,0.07659857,0.91325,0.009102545],"study_design_scores_gemma":[0.000006756567,0.000002507607,0.001032802,0.000112672,0.000004222301,0.00001579796,0.002037089,0.0000450034,0.00009212583,0.005555194,0.9910788,0.00001696409],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002456064,0.02724146,0.0003273703,0.48514,0.007103642,0.00003197839,0.001454946,0.00009062388,0.4761539],"genre_scores_gemma":[0.06293176,0.01449636,0.0006402386,0.1073536,0.0008965139,0.00003487706,0.0006852185,0.0002337381,0.8127277],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.065586,"threshold_uncertainty_score":0.4340763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004387646633223329,"score_gpt":0.1585587491534495,"score_spread":0.1541711025202261,"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."}}