{"id":"W6925346702","doi":"10.17862/cranfield.rd.23628051.v1","title":"Day 3 - 1130 - Levac.pdf","year":2023,"lang":"de","type":"article","venue":"Figshare","topic":"Advanced Cellulose Research Studies","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nitrocellulose; Composition (language)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006662662,0.0007862734,0.0006544318,0.002128973,0.001044472,0.004290723,0.001404314,0.001609656,0.884759],"category_scores_gemma":[0.001111257,0.0006008619,0.0006801696,0.001252591,0.0004062527,0.00168955,0.001948103,0.001451613,0.8518344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001229624,"about_ca_system_score_gemma":0.00117814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004647494,"about_ca_topic_score_gemma":0.008947932,"domain_scores_codex":[0.999564,0.00002392551,0.00001637074,0.00006867314,0.0002623718,0.00006474666],"domain_scores_gemma":[0.9989256,0.00009095926,0.00002837959,0.0001998063,0.0004751389,0.0002801652],"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":[0.000154865,0.00008946859,0.0001949546,0.0001764096,0.000005489157,0.00009753965,0.0000414623,0.0001212407,0.004057766,0.002893052,0.8056449,0.1865228],"study_design_scores_gemma":[0.00001289208,0.00001916805,0.0003393971,0.00003443631,0.000001516993,0.00006444978,0.00001926573,0.00006894764,0.001761464,0.0004220253,0.9972484,0.000008103824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0009068046,0.0007045666,0.002336759,0.0005649831,0.0009854815,0.0001513699,0.01202183,0.00934488,0.9729834],"genre_scores_gemma":[0.001938877,0.0003051241,0.0008796037,0.0002208244,0.00008483614,0.00004379928,0.006062445,0.002409457,0.9880551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.115241,"threshold_uncertainty_score":0.1643773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08936714825457226,"score_gpt":0.3438450184783797,"score_spread":0.2544778702238074,"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."}}