{"id":"W4393598412","doi":"10.5281/zenodo.10355235","title":"Campbell Gas Engine","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Rocket and propulsion systems research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gas engine; Computer science; Automotive engineering; Engineering","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":[0.0006423022,0.002622028,0.001241738,0.003358101,0.0008270848,0.002502511,0.002519842,0.001436118,0.1218942],"category_scores_gemma":[0.004021813,0.0007298788,0.0009736244,0.00771447,0.0003207365,0.002605571,0.00196052,0.001681853,0.2330724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001461126,"about_ca_system_score_gemma":0.002093785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04328571,"about_ca_topic_score_gemma":0.07527342,"domain_scores_codex":[0.9990866,0.0001049113,0.00007367025,0.0002661833,0.0003065595,0.0001619422],"domain_scores_gemma":[0.9986823,0.0002559509,0.00009673431,0.0003670421,0.0004704432,0.0001274347],"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":[0.00003015271,0.000009685435,0.0003483772,0.0002915626,0.000007065461,0.000009055108,0.00001980409,0.0002486453,0.00005326502,0.0007181604,0.9947232,0.00354106],"study_design_scores_gemma":[0.00003562632,0.000004776919,0.0009931218,0.0001020096,0.000005538776,0.00001529645,0.00004169048,0.0002525623,0.0001757758,0.0008495788,0.9975121,0.00001186865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001382196,0.00008519026,0.0001385669,0.00003996776,0.0000182698,0.00001287214,0.9927027,0.001904786,0.004959441],"genre_scores_gemma":[0.0005135092,0.0001125393,0.0005592823,0.00002793612,0.000004815979,0.00004342731,0.9963627,0.0005259942,0.001849648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1218942,"threshold_uncertainty_score":0.4077765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03247923502319551,"score_gpt":0.2345838158424908,"score_spread":0.2021045808192953,"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."}}