{"id":"W6944160432","doi":"10.17862/cranfield.rd.23628048.v1","title":"Day 3 - 1200 - Frederick Paquet.pdf","year":2023,"lang":"de","type":"article","venue":"Figshare","topic":"Energetic Materials and Combustion","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Deflagration; Nitrocellulose; Bolometer; Feature (linguistics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006658394,0.0002373257,0.0002168398,0.00008578511,0.00009559072,0.0001603823,0.0002241698,0.0002131748,0.7099848],"category_scores_gemma":[0.0002906939,0.0002577704,0.00008981424,0.0003811925,0.000003348655,0.00009327335,0.0001323569,0.0001530135,0.2809532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005233448,"about_ca_system_score_gemma":0.00003021745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002217942,"about_ca_topic_score_gemma":0.000006676984,"domain_scores_codex":[0.9987983,0.00004329515,0.0002622575,0.0002519128,0.0002019647,0.0004422488],"domain_scores_gemma":[0.9993809,0.00007473319,0.00004947944,0.0003287703,0.00004417352,0.0001219712],"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":[0.000001837419,0.000009874609,0.000005966043,0.0005683896,0.00004305209,0.0000629975,0.0001176245,0.01333557,0.000814281,0.00003399774,0.9815339,0.003472546],"study_design_scores_gemma":[0.0001695685,0.0000257618,0.002161183,0.001587274,0.00002417971,0.000001746048,0.00002283579,0.01739645,0.00594323,0.0001041395,0.9722022,0.0003613606],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01847544,0.01121924,0.00004895888,0.0009773362,0.01652505,0.001272839,0.8457238,0.006060539,0.09969679],"genre_scores_gemma":[0.1563435,0.0009697243,0.0002347076,0.0002998112,0.005885276,0.0006116425,0.8017414,0.0003036032,0.03361035],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4290316,"threshold_uncertainty_score":0.9999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155418166982094,"score_gpt":0.2160141765326057,"score_spread":0.1944599948627847,"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."}}