{"id":"W6929985554","doi":"10.5281/zenodo.10211315","title":"Cleansky2 / Clean Aviation PROTECTeD Project","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Aviation; Work (physics); Crew; Frame (networking); Government (linguistics); Autonomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001993648,0.00129774,0.0006693046,0.0009079159,0.001175729,0.001673573,0.001128731,0.00121863,0.02801587],"category_scores_gemma":[0.0009500694,0.0002206617,0.0005602001,0.0004904708,0.0005882919,0.0009195795,0.002901592,0.001644789,0.01158741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037999,"about_ca_system_score_gemma":0.003985123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006352704,"about_ca_topic_score_gemma":0.005444432,"domain_scores_codex":[0.9980904,0.0002852923,0.00002036798,0.0003504905,0.0008655435,0.00038778],"domain_scores_gemma":[0.9988752,0.00007630048,0.00006223284,0.0002491967,0.000381873,0.0003550815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007508895,0.001109745,0.006424364,0.001844275,0.0003936537,0.0009495396,0.0008114116,0.01227287,0.1862498,0.09755144,0.310117,0.3747671],"study_design_scores_gemma":[0.0003135641,0.001017816,0.005735774,0.0001372868,0.00005240032,0.0003235371,0.0001747089,0.00629081,0.04259891,0.00664518,0.9366579,0.00005203227],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.170873,0.01438926,0.1213313,0.009323573,0.004876287,0.001680841,0.04136212,0.01580631,0.6203573],"genre_scores_gemma":[0.554098,0.003890565,0.09921452,0.002743402,0.0008450414,0.00130747,0.08816684,0.007090613,0.2426436],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02801587,"threshold_uncertainty_score":0.09372246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03340103306105383,"score_gpt":0.2723027166350902,"score_spread":0.2389016835740364,"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."}}