{"id":"W6957554402","doi":"10.6068/dp14ba8eab8bd76","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, Other machinery, equipment and supplies wholesaler-distributors, 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":"Organic and Molecular Conductors Research","field":"Materials Science","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":[0.002215333,0.002343013,0.002798581,0.009209988,0.003761895,0.004998647,0.005166677,0.001567702,0.08828163],"category_scores_gemma":[0.02022995,0.001739752,0.002139469,0.05271036,0.0007448714,0.002399791,0.002281721,0.003209293,0.05136497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06624075,"about_ca_system_score_gemma":0.1694211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965264,"about_ca_topic_score_gemma":0.9953313,"domain_scores_codex":[0.9948424,0.0002912815,0.000613198,0.0005763099,0.002511764,0.001165118],"domain_scores_gemma":[0.9512505,0.001759311,0.001255898,0.001153979,0.04266246,0.001917885],"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":[0.00001937907,0.000007454885,0.001019945,0.0002402262,0.00001757579,0.00000612248,0.00002026653,0.000101908,0.000007081323,0.0002752477,0.9971579,0.001126999],"study_design_scores_gemma":[0.0001903774,0.0000131479,0.03331766,0.0009377369,0.0000865831,0.00002542521,0.0006489131,0.000475163,0.000184562,0.0006006223,0.9634216,0.00009827577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005080574,0.00004495845,0.00001372017,0.0001120983,0.00002051702,0.00001179197,0.9989035,0.00003783477,0.0008047472],"genre_scores_gemma":[0.0009701602,0.0002910472,0.0003262096,0.0001772509,0.00001633668,0.0001172758,0.9939995,0.00008184701,0.004020331],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08828163,"threshold_uncertainty_score":0.4806125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263515773030301,"score_gpt":0.2582696649615825,"score_spread":0.2156345072312795,"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."}}