{"id":"W6920509577","doi":"10.6068/dp14ba8ac148c28","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Innovation | Country: Canada | Table: Survey of innovation, selected service industries, type of organizations with which innovative business units cooperated and collaborated in order to develop products or processes | Variable: Computer systems design and related services, Suppliers of equipment, materials, components or software | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-181.","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; Service (business); Census; Publication; Business statistics; Official statistics; Big data; Information system","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":[0.002765235,0.002687946,0.003267412,0.01137926,0.004191767,0.005821488,0.005959978,0.001747322,0.09592865],"category_scores_gemma":[0.02583763,0.002010613,0.002233154,0.06315335,0.0008364226,0.002741544,0.002569244,0.003717132,0.05891027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07307401,"about_ca_system_score_gemma":0.183368,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955341,"about_ca_topic_score_gemma":0.9928312,"domain_scores_codex":[0.9932587,0.0003807625,0.0008285537,0.0007154388,0.00334937,0.001467212],"domain_scores_gemma":[0.9362187,0.002503823,0.001662636,0.001481848,0.05569169,0.002441283],"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":[0.00002094973,0.000007784301,0.0009134773,0.0002762256,0.00001619213,0.000005737906,0.00002066445,0.00008527303,0.000007474019,0.0002585056,0.9971216,0.001266123],"study_design_scores_gemma":[0.000221527,0.00001457219,0.03494146,0.001093212,0.00009622057,0.0000255199,0.0006943524,0.0003866095,0.0001922793,0.0006163131,0.961617,0.0001009159],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004212475,0.00004167574,0.00001533296,0.0001051595,0.00002053461,0.00001388037,0.9989924,0.00004065301,0.0007281625],"genre_scores_gemma":[0.0007797958,0.0002985176,0.0003442831,0.0001746098,0.00001842838,0.0001574704,0.9941943,0.00009582614,0.003936756],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09592865,"threshold_uncertainty_score":0.5301915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04144196718684893,"score_gpt":0.2513007869942942,"score_spread":0.2098588198074453,"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."}}