{"id":"W6888909985","doi":"10.25318/2110009501-eng","title":"Commercial and industrial machinery and equipment rental and leasing, summary statistics, inactive","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renting; Table (database); Profit (economics); Industrial equipment; Payment","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":[0.0008431078,0.001339573,0.001233556,0.005059681,0.0008488095,0.002810908,0.001923454,0.001136261,0.07822752],"category_scores_gemma":[0.008487867,0.0007150579,0.0007321101,0.01691723,0.0003674214,0.001430723,0.0009626899,0.001660024,0.07639671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006610127,"about_ca_system_score_gemma":0.01314964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6400734,"about_ca_topic_score_gemma":0.6796702,"domain_scores_codex":[0.9986299,0.00008000436,0.0001608963,0.000297537,0.0005247617,0.0003068256],"domain_scores_gemma":[0.993632,0.0007103226,0.0005707728,0.0005665551,0.004040308,0.0004800342],"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":[0.00001608484,0.000007241684,0.001042192,0.0001387518,0.000008440122,0.000006108318,0.000007808293,0.0001220706,0.00001384702,0.0003000282,0.9972652,0.001072152],"study_design_scores_gemma":[0.00009686344,0.00001001087,0.01689364,0.0003043283,0.00002251117,0.00002710757,0.0001095308,0.0003480046,0.0001488169,0.0005493421,0.9814593,0.00003066498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006607705,0.00002541678,0.00001482348,0.00003236438,0.00001029462,0.000003790112,0.9991585,0.00004269923,0.0006461728],"genre_scores_gemma":[0.0004832507,0.00007129016,0.00008727475,0.00003405076,0.00000749116,0.00003111453,0.9975745,0.00002907567,0.001681887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3599266,"threshold_uncertainty_score":0.7240926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751301056906139,"score_gpt":0.2777895172970994,"score_spread":0.260276506728038,"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."}}