{"id":"W4394294518","doi":"10.6084/m9.figshare.22581724","title":"Industrial machinery stocks 1978-2020","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency","funders":"","keywords":"Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00002417185,0.0003366554,0.0003157318,0.0001427214,0.00005271479,0.00005727615,0.0004459583,0.0007076581,0.1320519],"category_scores_gemma":[0.0006958026,0.0003350053,0.0001331677,0.0003323163,0.000002225176,0.00005565813,0.0001758329,0.001246819,0.05439251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000517139,"about_ca_system_score_gemma":0.0000662288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002338184,"about_ca_topic_score_gemma":0.00002924426,"domain_scores_codex":[0.9989615,0.00001356367,0.0002362024,0.0002405501,0.0002170107,0.0003311856],"domain_scores_gemma":[0.9991289,0.0001310477,0.00003885505,0.0005062189,0.00002296335,0.0001720354],"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":[9.85448e-7,0.000005233754,1.043805e-7,0.0003695934,0.00004836949,0.0001164215,0.000003037402,0.00245201,8.413214e-7,3.798666e-8,0.9966937,0.0003096079],"study_design_scores_gemma":[0.0001491597,0.00001209128,0.000005242146,0.00155797,0.00002383564,0.000006229508,0.000002933568,0.0005696266,0.000005030484,0.000002051484,0.9972967,0.0003691524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.784356e-7,0.0003574345,2.081798e-7,0.0000199781,0.0008056853,0.0001901012,0.9968897,0.0007453687,0.000991346],"genre_scores_gemma":[7.658169e-7,0.00005261389,0.000007071942,0.00006042826,0.002270119,0.000218325,0.9966787,0.00007186011,0.0006401439],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07765936,"threshold_uncertainty_score":0.9999102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05444014198337721,"score_gpt":0.2563811153451249,"score_spread":0.2019409733617477,"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."}}