{"id":"W6901561955","doi":"10.6068/dp14ba8c790b054","title":"Most Recent Data (2003). Statistics Canada. CANSIM: Environment - Natural Resources | Country: Canada | Table: Survey of innovation, selected service industries, percentage of total revenues from the sale of products to the mining and/or forestry and/or forest products industries | Variable: Mining industry, Cable and other program distribution, 75% to 100% of revenues, Non-innovative business units | Units: %, 2003. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-086.","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; Revenue; Official statistics; Natural resource; Census; Summary statistics; Descriptive statistics; Service (business)","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":[0.002216191,0.002374622,0.00269355,0.009044457,0.003838702,0.005000915,0.00504243,0.001549777,0.09516248],"category_scores_gemma":[0.01985228,0.00174362,0.00204393,0.05127545,0.0007155519,0.002382227,0.002230427,0.003113017,0.05700459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0659176,"about_ca_system_score_gemma":0.1640068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9963732,"about_ca_topic_score_gemma":0.995103,"domain_scores_codex":[0.9950584,0.0002637136,0.0005526862,0.0005571175,0.002433641,0.001134465],"domain_scores_gemma":[0.9537854,0.001641871,0.001136483,0.001076441,0.04044472,0.001915215],"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":[0.00001877871,0.000007035908,0.0009345827,0.0002148417,0.00001477738,0.000005952801,0.00001961857,0.00009231277,0.000007652,0.0002563278,0.9972354,0.001192739],"study_design_scores_gemma":[0.0001802237,0.00001222415,0.03201174,0.0008308715,0.00007592915,0.0000234208,0.0006093796,0.0004172242,0.0001865729,0.0005567301,0.9650002,0.00009544471],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004918592,0.00004059044,0.00001425054,0.0001076785,0.00002038121,0.00001180151,0.9988655,0.00004090825,0.0008497284],"genre_scores_gemma":[0.0009027954,0.0002684949,0.0003394241,0.0001713834,0.00001570398,0.0001160825,0.9938028,0.00008873895,0.00429454],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09516248,"threshold_uncertainty_score":0.4782678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04253555624866228,"score_gpt":0.255959712644483,"score_spread":0.2134241563958207,"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."}}