{"id":"W7035816684","doi":"","title":"Advanced BioFuels USA – Ontario and Canada Investing in Clean Energy Production Using Forest Biomass","year":2023,"lang":"en","type":"other","venue":"","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Biofuel; Biomass (ecology); Production (economics); Renewable energy; Clean energy; Bioenergy; Clean technology","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":[0.0007362741,0.0007186277,0.000211312,0.00145577,0.003624917,0.003033366,0.0007944271,0.001435729,0.05547317],"category_scores_gemma":[0.001141673,0.0002605471,0.0004623016,0.002114807,0.0007209242,0.000892673,0.001407272,0.001238662,0.01032284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03780248,"about_ca_system_score_gemma":0.108279,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9759,"about_ca_topic_score_gemma":0.9901839,"domain_scores_codex":[0.9989421,0.00002179859,0.00001197184,0.00004274579,0.0005775495,0.0004037751],"domain_scores_gemma":[0.9979092,0.00004760424,0.00004851904,0.00005910735,0.001530588,0.0004049271],"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":[0.0001488658,0.00009974211,0.004203188,0.0001909997,0.00001873588,0.0001407745,0.0001874043,0.0005623272,0.001777238,0.03282946,0.8570017,0.1028396],"study_design_scores_gemma":[0.00001094569,0.00001233583,0.005079541,0.00006910867,0.000007747007,0.00002328543,0.0002521132,0.0002180558,0.0006476563,0.0008307336,0.9928387,0.00000974062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01160215,0.002779838,0.0008815547,0.01065811,0.0009649629,0.000182176,0.01039056,0.0002909344,0.9622498],"genre_scores_gemma":[0.03228394,0.003917881,0.001722789,0.002143658,0.00009685347,0.00005479035,0.005838574,0.0001331757,0.9538082],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05547317,"threshold_uncertainty_score":0.2742774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237349372556806,"score_gpt":0.1901007902367198,"score_spread":0.1777272965111518,"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."}}