{"id":"W6968484322","doi":"10.5281/zenodo.5213983","title":"Erigonella subelevata","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Essential Oils and Antimicrobial Activity","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Natural (archaeology); Work (physics); Product (mathematics)","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":[0.00006415727,0.0004761694,0.0002870491,0.0008898955,0.0005157133,0.0003127807,0.000317998,0.0003321293,0.008276517],"category_scores_gemma":[0.0001438006,0.0001120225,0.0001599612,0.0003026313,0.0002434414,0.0007852262,0.0006220043,0.0004851114,0.003191955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002135788,"about_ca_system_score_gemma":0.0001392997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001244078,"about_ca_topic_score_gemma":0.003521238,"domain_scores_codex":[0.9999193,0.000005971464,0.000007391875,0.00003466566,0.00001669239,0.00001598135],"domain_scores_gemma":[0.9999467,0.000008891889,0.00001681681,0.000005187686,0.00001348125,0.00000886733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00123877,0.0002385502,0.01438285,0.002253082,0.0001357755,0.002813458,0.002650468,0.0008811057,0.3239838,0.005414259,0.00938108,0.6366268],"study_design_scores_gemma":[0.0001528745,0.0006210798,0.2660575,0.0008031737,0.0001946849,0.01126003,0.001680269,0.0005147223,0.0242245,0.002247948,0.6921801,0.00006317535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6867,0.02058405,0.005920514,0.0006003453,0.0002972495,0.0002470298,0.004528163,0.0004637015,0.280659],"genre_scores_gemma":[0.9415097,0.004585255,0.004198689,0.0005259784,0.0001262247,0.000100978,0.00261331,0.00005268813,0.04628704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008276517,"threshold_uncertainty_score":0.02768773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03378370869400361,"score_gpt":0.2145865762877483,"score_spread":0.1808028675937447,"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."}}