{"id":"W7057726213","doi":"","title":"Initiative Aims To Help Canadian First Nation Reap Financial Rewards From Clean Energy","year":2011,"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":"First nation; Clean energy; Clean technology; Government (linguistics); Energy (signal processing)","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":[0.002289572,0.001164501,0.0004314764,0.003016331,0.01048954,0.006323038,0.002243005,0.00527752,0.1354823],"category_scores_gemma":[0.004340721,0.0004902927,0.001031966,0.002032627,0.001595233,0.001657162,0.002855201,0.003432584,0.02808905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04695252,"about_ca_system_score_gemma":0.1925678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9596606,"about_ca_topic_score_gemma":0.985823,"domain_scores_codex":[0.996792,0.0001016045,0.00003159324,0.0001165723,0.001742369,0.001215846],"domain_scores_gemma":[0.991795,0.0002471902,0.00009797914,0.0002178573,0.004810374,0.002831627],"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":[0.00004563169,0.00008595837,0.0009606603,0.00004276647,0.000006116414,0.00007118429,0.00007069272,0.0001149993,0.0002385863,0.01999702,0.9538639,0.02450259],"study_design_scores_gemma":[0.00002241867,0.00001578997,0.002985757,0.00003783275,0.000007960582,0.00004146588,0.0002997317,0.0002785841,0.0004633094,0.001696514,0.9941308,0.0000198057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003206258,0.0007292425,0.0009649761,0.02234852,0.001349418,0.0002302456,0.008439044,0.0008353323,0.961897],"genre_scores_gemma":[0.0102419,0.0005861165,0.001501096,0.004721003,0.0001141811,0.0000613656,0.002688987,0.0002339689,0.9798513],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1354823,"threshold_uncertainty_score":0.4532334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566478651007662,"score_gpt":0.2300826332321451,"score_spread":0.2044178467220685,"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."}}