{"id":"W6920489544","doi":"10.6068/dp14ba8be115652","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Science and Technology - Innovation | 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: 075-001-181.","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; Official statistics; Census; Business statistics; Publication; Service (business); 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002803123,0.002604798,0.003045952,0.01079582,0.004096679,0.005645042,0.005758139,0.00172738,0.1014907],"category_scores_gemma":[0.02534961,0.002061083,0.00219803,0.0629575,0.0008088478,0.002648602,0.002467748,0.003604004,0.06055542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07808159,"about_ca_system_score_gemma":0.1937369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959469,"about_ca_topic_score_gemma":0.9936035,"domain_scores_codex":[0.9930924,0.0003844329,0.000806596,0.0006887634,0.003518623,0.001509165],"domain_scores_gemma":[0.9324287,0.002464034,0.001661762,0.001450323,0.05940578,0.002589361],"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":[0.0000211088,0.000009231608,0.0009576476,0.00025658,0.00001480202,0.000005776249,0.00002265346,0.00008909022,0.000007564007,0.0002601546,0.9969226,0.001432818],"study_design_scores_gemma":[0.0002059048,0.00001590498,0.03946021,0.001003074,0.00008712432,0.00002445106,0.0007774843,0.0003871727,0.0001936901,0.0005914402,0.9571511,0.0001024461],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005054287,0.00004126082,0.00001766961,0.000118038,0.00002421184,0.0000179056,0.9987422,0.00004742932,0.0009408624],"genre_scores_gemma":[0.0009233931,0.0003173409,0.0004395643,0.0002059099,0.00002028286,0.0001964096,0.9921266,0.0001132743,0.005657172],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8985093,"threshold_uncertainty_score":0.5665242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05640484748741285,"score_gpt":0.2778568503624209,"score_spread":0.221452002875008,"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."}}