{"id":"W6901469262","doi":"10.6068/dp14ba8ef3e7156","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Research and Development | Country: Canada | Table: Survey of innovation, selected service industries, type and location of organizations with which innovative business units cooperated and collaborated in order to develop products or processes | Variable: Organization in the Pacific Rim, Other scientific and technical consulting services, Universities or other higher education institutes | 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; Service (business); Publication; Statistics education; Statistical analysis; Big data","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":[0.002492988,0.002532255,0.003059009,0.01094042,0.004122038,0.005730771,0.005404316,0.001682851,0.09413699],"category_scores_gemma":[0.02492532,0.001796954,0.00209714,0.06308246,0.0007970568,0.002627061,0.002350065,0.003481498,0.05426237],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06898967,"about_ca_system_score_gemma":0.1823411,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953783,"about_ca_topic_score_gemma":0.9929823,"domain_scores_codex":[0.9936699,0.0003387861,0.0007392327,0.0006634577,0.003214946,0.001373601],"domain_scores_gemma":[0.940272,0.002328718,0.001534172,0.001333321,0.0523634,0.00216835],"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":[0.00002182937,0.000008085923,0.0009395117,0.0002619158,0.00001694272,0.00000614407,0.0000200169,0.00009734811,0.00000793844,0.0002837579,0.9970973,0.001239272],"study_design_scores_gemma":[0.0001954053,0.0000134497,0.03108572,0.0009211962,0.00009189547,0.00002419285,0.0006672003,0.0003660084,0.0002015307,0.0006015432,0.9657328,0.00009911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004645674,0.00004492958,0.0000147954,0.0001072055,0.0000232906,0.00001277352,0.9989676,0.00004149647,0.0007414265],"genre_scores_gemma":[0.0009223747,0.0003220145,0.0003725251,0.000181842,0.00002010097,0.0001411263,0.9938192,0.00009539907,0.004125575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9310103,"threshold_uncertainty_score":0.5005574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0499488451319139,"score_gpt":0.2789947020637662,"score_spread":0.2290458569318523,"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."}}