{"id":"W6901488997","doi":"10.6068/dp14ba7c3a88c50","title":"Trend 1998 - 2009. Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of intellectual property commercialization, by higher education sector indicators | Variable: Full-time equivalent employees engaged in intellectual property management | Units: #, 1998-2009. 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; Intellectual property; Statistics education; Official statistics; Census; Publication; Statistical analysis; Higher education","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":[0.002463484,0.002564684,0.002909509,0.01063677,0.003672198,0.005960535,0.005379582,0.001606357,0.09165669],"category_scores_gemma":[0.02242706,0.00199847,0.002124618,0.05443667,0.0007789477,0.003236366,0.002670631,0.003435264,0.06436753],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06751847,"about_ca_system_score_gemma":0.1873071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949201,"about_ca_topic_score_gemma":0.9921143,"domain_scores_codex":[0.9937618,0.0003635389,0.0006717907,0.0006832965,0.003164455,0.001355068],"domain_scores_gemma":[0.9503152,0.001525123,0.001342849,0.001308378,0.04348364,0.002024764],"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":[0.0000220006,0.00000600393,0.0007995383,0.0002395322,0.00001605724,0.000006227009,0.00001868134,0.00008785364,0.000009045326,0.0004020743,0.9968843,0.001508725],"study_design_scores_gemma":[0.0001190577,0.00001130901,0.02077725,0.0007937258,0.00005696926,0.00002243564,0.0004850515,0.0003716115,0.0001829989,0.0006297316,0.9764729,0.00007698008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004483854,0.00005261736,0.00002723096,0.000153181,0.0000378076,0.00001858562,0.9983774,0.00007167079,0.001216539],"genre_scores_gemma":[0.0009054138,0.0004060245,0.000529531,0.000208195,0.00002442302,0.0001844548,0.9913623,0.0001505644,0.006229183],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9324815,"threshold_uncertainty_score":0.4898831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07041834874040365,"score_gpt":0.2929714157546139,"score_spread":0.2225530670142103,"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."}}