{"id":"W6950314415","doi":"10.5281/zenodo.3792297","title":"Panthea Anweiler 2009","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Taxonomy and Phylogenetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Alberta Museum","funders":"","keywords":"Identification (biology); Product (mathematics); Process (computing)","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":[0.0000676152,0.0003838059,0.0002377486,0.001086775,0.001365555,0.0004144674,0.0003188173,0.000421041,0.03045696],"category_scores_gemma":[0.0002122487,0.0001879861,0.0001666985,0.0006155589,0.0004151677,0.000891695,0.0008474604,0.0007311759,0.009008732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004981122,"about_ca_system_score_gemma":0.0002472539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003278315,"about_ca_topic_score_gemma":0.004652594,"domain_scores_codex":[0.999882,0.00001140455,0.000007427398,0.00004808671,0.00003491986,0.00001623807],"domain_scores_gemma":[0.9999371,0.00001339735,0.00000983259,0.00001322775,0.00001908664,0.000007498854],"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":[0.0007750513,0.0001057279,0.004586318,0.0009853357,0.00005454968,0.002949686,0.002381666,0.0006634101,0.2166178,0.02710068,0.03498597,0.7087939],"study_design_scores_gemma":[0.00004293343,0.0002652905,0.04439555,0.000186324,0.00005712125,0.004933662,0.0009562497,0.0004152773,0.01500164,0.00532227,0.9283915,0.00003233639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3149761,0.007085056,0.01255696,0.001479085,0.001872282,0.000384294,0.005918509,0.002053131,0.6536747],"genre_scores_gemma":[0.7217498,0.00400996,0.01050898,0.0008261867,0.0002576644,0.0001690577,0.006600511,0.0003370055,0.2555408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03045696,"threshold_uncertainty_score":0.1018887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04187163471580299,"score_gpt":0.2105465564690925,"score_spread":0.1686749217532895,"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."}}