{"id":"W6949354797","doi":"10.5281/zenodo.16095717","title":"Dorcatherium crassum Lartet 1851","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Ring (chemistry); Yield (engineering); 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":[],"consensus_categories":[],"category_scores_codex":[0.00006629452,0.0005422938,0.0002841869,0.0009705256,0.001128609,0.0002493138,0.0003548708,0.0003968326,0.009583185],"category_scores_gemma":[0.000172377,0.0001540481,0.0001050518,0.0008358677,0.0005262122,0.0004138348,0.0005868583,0.0005419576,0.002425679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006512136,"about_ca_system_score_gemma":0.0003296756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01066548,"about_ca_topic_score_gemma":0.02372764,"domain_scores_codex":[0.999909,0.000008922099,0.000004317236,0.00003536764,0.00002354768,0.00001870729],"domain_scores_gemma":[0.9999514,0.0000103717,0.00001185491,0.000005210345,0.000014772,0.000006529337],"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":[0.000647633,0.0001174121,0.02708213,0.001399457,0.0001070279,0.00486434,0.002483276,0.00099905,0.2394278,0.007587094,0.02387548,0.6914093],"study_design_scores_gemma":[0.0001141203,0.0002952484,0.3690034,0.000299978,0.0001318608,0.007060084,0.001990941,0.000479572,0.01656013,0.00124932,0.6027732,0.00004214569],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.660926,0.0105838,0.005157984,0.0009451561,0.0007914809,0.0003645624,0.003363932,0.0006379245,0.317229],"genre_scores_gemma":[0.9645358,0.002490332,0.00157669,0.0004758517,0.00007678384,0.00008000888,0.002002631,0.00003674999,0.0287252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066548,"threshold_uncertainty_score":0.03205889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839211492608368,"score_gpt":0.2646697653818838,"score_spread":0.2362776504558001,"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."}}