{"id":"W7002275251","doi":"","title":"Mixed results: business responds to 2023 Canadian federal budget measures","year":2023,"lang":"de","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Federal budget; Work (physics); Revenue","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":[0.01241891,0.001389623,0.0008934282,0.003877315,0.01536391,0.01669739,0.004226927,0.01919897,0.1261246],"category_scores_gemma":[0.04368294,0.001136844,0.001344376,0.003014521,0.003654944,0.002151267,0.004028998,0.0114379,0.03362448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06721988,"about_ca_system_score_gemma":0.2323037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9160842,"about_ca_topic_score_gemma":0.9644634,"domain_scores_codex":[0.9730478,0.001089538,0.0004320727,0.0007726075,0.0188014,0.00585658],"domain_scores_gemma":[0.9458624,0.005623882,0.0008895359,0.001533831,0.03050806,0.01558224],"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":[0.00002675,0.00001572469,0.0004192443,0.00001490861,0.000003810397,0.00004507256,0.00006475765,0.0000623759,0.0001645803,0.006451509,0.9861894,0.006541863],"study_design_scores_gemma":[0.00002649686,0.00001610776,0.003199471,0.0000479088,0.000008218975,0.00003242324,0.0003235086,0.000340664,0.0003052524,0.001383216,0.9942787,0.00003808136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.005442783,0.001547731,0.001247325,0.5355806,0.01594162,0.0004429828,0.009289986,0.001983473,0.4285234],"genre_scores_gemma":[0.02082971,0.0006378727,0.001936418,0.1325788,0.001682246,0.0001891744,0.002267939,0.0006886696,0.8391891],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1261246,"threshold_uncertainty_score":0.4877167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01447182665675665,"score_gpt":0.2564457869920811,"score_spread":0.2419739603353245,"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."}}