{"id":"W7017826213","doi":"","title":"Canadian Investment Tax Credits for Clean Technologies and Clean Hydrogen Announced in 2022 Fall Economic","year":2022,"lang":"en","type":"other","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Tax credit; Clean technology; Tax reform; Government (linguistics); Value-added tax","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":[0.002115115,0.001181925,0.0008027221,0.003566557,0.007664311,0.006716802,0.002079151,0.007360172,0.09067529],"category_scores_gemma":[0.008836865,0.0007772208,0.001135009,0.003812516,0.001198886,0.001254216,0.00173525,0.005426594,0.01213934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1175622,"about_ca_system_score_gemma":0.2440751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928295,"about_ca_topic_score_gemma":0.9949613,"domain_scores_codex":[0.9947024,0.0001242689,0.00007452221,0.0001714814,0.00352701,0.001400334],"domain_scores_gemma":[0.9932975,0.0002285677,0.00009927725,0.0001394804,0.005176306,0.001058893],"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":[0.0000376665,0.00001623227,0.0004034586,0.00003699953,0.00000535932,0.0000300562,0.00004096631,0.0002035541,0.00006575867,0.02013048,0.9732789,0.005750537],"study_design_scores_gemma":[0.0000343518,0.00000660464,0.005604166,0.00005301123,0.000007576714,0.00001139117,0.0001349287,0.0003974402,0.0002154916,0.001629057,0.9918794,0.00002656796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007037035,0.004344962,0.000908562,0.09628158,0.007727312,0.0005872832,0.1096345,0.00129997,0.7721788],"genre_scores_gemma":[0.0231582,0.001774261,0.001247524,0.009282657,0.0003020776,0.0001425889,0.01043216,0.0001656855,0.9534948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1175622,"threshold_uncertainty_score":0.8529778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396112044339369,"score_gpt":0.2509017254072018,"score_spread":0.2369406049638081,"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."}}