{"id":"W6980582032","doi":"","title":"Clean Tech ITC Decoded: Benefits and Strategies for Canadian Businesses","year":2024,"lang":"en","type":"other","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"High tech; Clean technology; Government (linguistics); Work (physics); Quality (philosophy)","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":[0.00237285,0.0008339289,0.0003319602,0.003929966,0.02069788,0.01401384,0.00214628,0.006275395,0.1576382],"category_scores_gemma":[0.008326135,0.0004930499,0.0008436253,0.004877134,0.002719261,0.00379733,0.004687552,0.004148894,0.02714461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06393941,"about_ca_system_score_gemma":0.3023994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841161,"about_ca_topic_score_gemma":0.9947296,"domain_scores_codex":[0.9955642,0.0001517628,0.00004992651,0.0001309288,0.00228344,0.001819758],"domain_scores_gemma":[0.9876523,0.000600867,0.000147732,0.0003304214,0.00667774,0.004590938],"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":[0.00002807294,0.0000495297,0.001247148,0.00005673632,0.000003611734,0.00009891397,0.0003631464,0.0001155406,0.0002055476,0.02744473,0.9292774,0.04110969],"study_design_scores_gemma":[0.00001701894,0.00001756827,0.004881619,0.0001123049,0.00001144353,0.00004711442,0.004317937,0.0004748538,0.0003514305,0.004194228,0.9855282,0.00004632708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00811155,0.00116408,0.001067847,0.0988737,0.001407236,0.0002289904,0.006303973,0.001134848,0.8817077],"genre_scores_gemma":[0.03585208,0.001714534,0.002758792,0.01415448,0.000190191,0.00007711051,0.00276884,0.0003980142,0.9420859],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1576382,"threshold_uncertainty_score":0.5273523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05674691871289938,"score_gpt":0.2376610783207693,"score_spread":0.1809141596078699,"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."}}