{"id":"W6948761473","doi":"10.5281/zenodo.10161482","title":"TianbiZhang/ZeissTrial: v1.0.1","year":2023,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Process (computing); Action (physics); Identification (biology)","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001329929,0.0007275176,0.0007218844,0.0008014363,0.003438389,0.002508568,0.003733192,0.0008089406,0.4300012],"category_scores_gemma":[0.002243721,0.0007758788,0.0003559841,0.001519458,0.0005800821,0.0001973047,0.004185196,0.001849592,0.5087971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536604,"about_ca_system_score_gemma":0.00002821587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000101958,"about_ca_topic_score_gemma":0.000003349023,"domain_scores_codex":[0.9937852,0.000651194,0.0007748101,0.001595964,0.001573571,0.001619247],"domain_scores_gemma":[0.9960504,0.0001338518,0.0004185439,0.001784407,0.0008119545,0.0008008804],"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":[0.0001173872,0.0002789409,0.000001339479,0.0005939913,0.0004845385,0.0002208068,0.0004932539,0.000007890935,0.006360025,0.0008530445,0.9007621,0.0898267],"study_design_scores_gemma":[0.001451584,0.0002286264,0.00002128239,0.0006298076,0.0001085629,0.00008164698,0.0004700975,0.0001059124,0.001988407,0.00009469243,0.9940237,0.0007956951],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004683957,0.001056962,0.0001156374,0.001787116,0.0009522749,0.0009497309,0.003053796,0.005749371,0.9858667],"genre_scores_gemma":[0.01485405,0.003629694,0.0001004631,0.0001458694,0.007291752,2.905025e-7,0.01437557,0.06067219,0.8989301],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0932616,"threshold_uncertainty_score":0.9994692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04475254837533476,"score_gpt":0.2643806930709774,"score_spread":0.2196281446956426,"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."}}