{"id":"W7000925872","doi":"","title":"HVAC Filters Market in Canada projected to grow at a CAGR of around 2% from 2016 to 2023: Global Market Insights Inc.","year":2017,"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":"Market research; HVAC; Market competition; Market analysis","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":[0.0008003094,0.0007198162,0.0002789435,0.001946617,0.003288152,0.004887847,0.001200905,0.00170825,0.04086761],"category_scores_gemma":[0.00284915,0.0003415681,0.0007706254,0.003685483,0.0008879729,0.001660767,0.00112813,0.002118962,0.005644986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0528855,"about_ca_system_score_gemma":0.1783757,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9893245,"about_ca_topic_score_gemma":0.9936073,"domain_scores_codex":[0.9983174,0.00003418186,0.00002728133,0.00006528158,0.00110422,0.0004517839],"domain_scores_gemma":[0.9956644,0.0001285915,0.0001184222,0.00004036313,0.003378965,0.0006692563],"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":[0.00006166125,0.00003156983,0.004839229,0.000212336,0.00002067794,0.00009414025,0.0001510769,0.0008431973,0.0003211756,0.01309597,0.9459935,0.0343354],"study_design_scores_gemma":[0.00003317703,0.00002170354,0.03283849,0.0003326509,0.00003717317,0.00008554963,0.001280687,0.00212445,0.001043077,0.001925157,0.9602144,0.00006349601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03666362,0.01299943,0.0027416,0.1079791,0.002609664,0.0002958239,0.2458057,0.001877499,0.5890276],"genre_scores_gemma":[0.2341828,0.02523848,0.0057315,0.01176639,0.0006436292,0.0001709745,0.09195766,0.0007894217,0.6295191],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0528855,"threshold_uncertainty_score":0.3837129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01121452223954737,"score_gpt":0.2561291590677585,"score_spread":0.2449146368282111,"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."}}