{"id":"W6977026692","doi":"10.6068/dp14ba895b68278","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Information and Communications Technology - Information and Communications Technology Sector | 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: Software publishers, Private non-profit research institutes | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-127.","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; Information and Communications Technology; Service (business); Business statistics; Information technology; Publication; Summary statistics; Tertiary sector of the economy","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":[0.002825186,0.002542855,0.002912529,0.01043108,0.004511827,0.005666837,0.005678323,0.00169069,0.1006879],"category_scores_gemma":[0.02670939,0.001847524,0.002197993,0.05705502,0.0008071363,0.002742463,0.002474076,0.003550234,0.05961026],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07243685,"about_ca_system_score_gemma":0.1920245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.995809,"about_ca_topic_score_gemma":0.9937884,"domain_scores_codex":[0.9933041,0.0003696158,0.0007219142,0.0006917255,0.003476933,0.001435684],"domain_scores_gemma":[0.9358989,0.002259968,0.001458898,0.001444675,0.05654998,0.002387683],"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":[0.00001981293,0.00000755979,0.0009079273,0.0002373192,0.00001518725,0.000005664549,0.00002185035,0.0000860728,0.000007476398,0.0003089281,0.9970407,0.001341544],"study_design_scores_gemma":[0.0001764766,0.00001319263,0.03126939,0.0009387163,0.00008168592,0.00002422868,0.0006669042,0.0003432215,0.0001805505,0.0006152971,0.9655929,0.00009742338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004870778,0.00004700484,0.00001834362,0.0001286558,0.000026945,0.00001646925,0.9986644,0.00004382666,0.001005679],"genre_scores_gemma":[0.0009577087,0.000341904,0.0004560427,0.0002164378,0.00002184055,0.0001790239,0.9924266,0.0001113095,0.005289089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9275631,"threshold_uncertainty_score":0.5255686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06187883560069577,"score_gpt":0.2879842572638526,"score_spread":0.2261054216631568,"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."}}