{"id":"W6968493329","doi":"10.5281/zenodo.4366403","title":"Monarda fistulosa Linnaeus 1753","year":2007,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxon; Statement (logic); Genus; Correct name","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001107631,0.0006539552,0.0004895441,0.001941601,0.001894471,0.0003231871,0.0006583984,0.000354281,0.02292222],"category_scores_gemma":[0.0001923993,0.0002226888,0.0001650384,0.0007593767,0.0003074123,0.001109178,0.001037352,0.0004655375,0.008442277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001056785,"about_ca_system_score_gemma":0.0003784324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05489369,"about_ca_topic_score_gemma":0.1914462,"domain_scores_codex":[0.9999013,0.000006601418,0.000004634134,0.00003552801,0.00003131908,0.00002051457],"domain_scores_gemma":[0.9999452,0.000007119411,0.00001748961,0.000004724349,0.00001356467,0.00001183962],"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":[0.0004736082,0.0001438092,0.01817222,0.0006647637,0.00009125229,0.001642575,0.00262732,0.0006792155,0.04001627,0.006226997,0.0726421,0.8566199],"study_design_scores_gemma":[0.00006062722,0.0001517395,0.1686594,0.0001976995,0.0001203109,0.003147861,0.001016276,0.0004473649,0.002566411,0.001151216,0.8224328,0.00004827866],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3080456,0.0192308,0.005253268,0.001282364,0.0008883844,0.000504923,0.009666935,0.002975404,0.6521524],"genre_scores_gemma":[0.783165,0.004695412,0.005551829,0.001493501,0.0002124439,0.0001763005,0.004782797,0.0001679226,0.1997547],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05489369,"threshold_uncertainty_score":0.1091483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0382877105358145,"score_gpt":0.2345407262068766,"score_spread":0.1962530156710621,"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."}}