{"id":"W6920224893","doi":"10.6068/dp14ba8d61a8392","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of innovation, selected service industries, innovative business units using sources of information needed for suggesting or contributing to the development of innovation | Variable: Importance, not relevant, Port and harbour operationsá, Suppliers of software, hardware, materials or equipment | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-182.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Official statistics; Census; Publication; Service (business); Business statistics; Big data; Port (circuit theory); Descriptive statistics","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":[0.002804513,0.002514807,0.002910308,0.01068665,0.004162169,0.005695445,0.005321404,0.001759424,0.1050014],"category_scores_gemma":[0.02705183,0.00192768,0.002160718,0.06024617,0.0008180213,0.002691852,0.002403099,0.003681579,0.06068576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07468264,"about_ca_system_score_gemma":0.1979824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957365,"about_ca_topic_score_gemma":0.9934875,"domain_scores_codex":[0.9932596,0.0003751862,0.000784961,0.0006912728,0.003445302,0.001443742],"domain_scores_gemma":[0.9325783,0.002565833,0.001631631,0.001475357,0.05929211,0.002456729],"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":[0.00001960028,0.000008259509,0.0008693616,0.0002510746,0.00001442305,0.000005779081,0.00001986405,0.00009106501,0.000007529454,0.0002786156,0.9970633,0.001371057],"study_design_scores_gemma":[0.0001889928,0.00001385941,0.03190445,0.0009653836,0.00008037846,0.00002371541,0.0006514569,0.0003532043,0.0001797063,0.0006290567,0.9649116,0.00009818148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004663802,0.00004725708,0.00001800489,0.0001301602,0.00002812695,0.00001730896,0.9987119,0.00004571363,0.0009548446],"genre_scores_gemma":[0.0009884984,0.0003732068,0.0004905126,0.000237188,0.00002328506,0.0001927836,0.9919185,0.000118649,0.005657367],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1050014,"threshold_uncertainty_score":0.541863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09243901527707678,"score_gpt":0.3092267387141958,"score_spread":0.2167877234371191,"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."}}