{"id":"W7035687585","doi":"","title":"ACW Baseline Report: Manufacturing - Forestry","year":2022,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"Educational Robotics and Engineering","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reforestation; Greenhouse gas; Incentive; Renewable energy; Baseline (sea); Variety (cybernetics); Carbon credit; Energy policy; Carbon neutrality; Fact sheet","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":[0.002624607,0.001690976,0.000646385,0.006658853,0.002395894,0.003997316,0.002639892,0.001957174,0.06985956],"category_scores_gemma":[0.004843316,0.0005567659,0.0005675786,0.00856654,0.0003791237,0.002062284,0.001374223,0.001877654,0.03824138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01364716,"about_ca_system_score_gemma":0.03980552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7277064,"about_ca_topic_score_gemma":0.7250243,"domain_scores_codex":[0.9947081,0.0002015326,0.0001370877,0.0003121526,0.003729744,0.0009113917],"domain_scores_gemma":[0.9922228,0.0002936813,0.0002504208,0.0003510683,0.006199819,0.0006823086],"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":[0.0001886243,0.0001002888,0.001781392,0.0002872707,0.0000146949,0.0000802559,0.00004751741,0.000555271,0.0003594509,0.002784821,0.9720103,0.02179011],"study_design_scores_gemma":[0.00003256414,0.00004753837,0.01552059,0.00008889022,0.000009665422,0.00003252128,0.0001587586,0.0003103073,0.0008666343,0.0004286037,0.982485,0.00001888704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.004578794,0.001195533,0.001038687,0.003056389,0.001299802,0.001154362,0.7073367,0.001372832,0.2789671],"genre_scores_gemma":[0.01914612,0.001652991,0.003198612,0.001286134,0.000301076,0.001185545,0.7058076,0.0004593905,0.2669626],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7277064,"threshold_uncertainty_score":0.5477943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879656961989714,"score_gpt":0.1813694560542744,"score_spread":0.1625728864343773,"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."}}