{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002007633,0.001996301,0.001968961,0.003699343,0.001428793,0.003376858,0.004806141,0.002151986,0.3763112],"category_scores_gemma":[0.001803649,0.002437152,0.001282422,0.00235801,0.0006818745,0.003512767,0.003113001,0.002277985,0.448496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853635,"about_ca_system_score_gemma":0.001244625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003061827,"about_ca_topic_score_gemma":0.004270858,"domain_scores_codex":[0.9988289,0.00008964157,0.00005112086,0.0002590747,0.0005475404,0.0002238268],"domain_scores_gemma":[0.9983625,0.0001569301,0.00008344366,0.0008026146,0.0003570773,0.0002375072],"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":[0.0003775243,0.00004033983,0.0005078847,0.0005610269,0.00005086556,0.0000917427,0.00008678446,0.0003214379,0.03367798,0.00751888,0.8945022,0.06226329],"study_design_scores_gemma":[0.0001289915,0.00006132328,0.001817987,0.0000990167,0.00004630469,0.000501747,0.00004257376,0.003820138,0.05620829,0.004270217,0.9328721,0.000131243],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.005643354,0.001478269,0.09684887,0.00102824,0.0004691553,0.0003606549,0.1060816,0.5960631,0.1920267],"genre_scores_gemma":[0.04395557,0.001556437,0.1131897,0.0008736904,0.0002755463,0.00126834,0.2649415,0.4132949,0.1606442],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3763112,"threshold_uncertainty_score":0.8896164,"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."}}