{"id":"W6893990602","doi":"10.5281/zenodo.7618515","title":"Lamourouxia xalapensis Kunth. 2023, Nov. Gen.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mediterranean and Iberian flora and fauna","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apex (geometry); Calyx; Pedicel; Raceme; Stipule","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":[0.0004734647,0.002621071,0.001181744,0.003862945,0.003204609,0.00119786,0.001842406,0.001553902,0.02977213],"category_scores_gemma":[0.001684417,0.0009553414,0.0004388813,0.003325972,0.001185433,0.004544892,0.001686872,0.002324308,0.02380298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00231154,"about_ca_system_score_gemma":0.0008261348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04011106,"about_ca_topic_score_gemma":0.06786663,"domain_scores_codex":[0.9993861,0.00006991891,0.00008012215,0.0002290376,0.0001527758,0.00008198692],"domain_scores_gemma":[0.9993064,0.00013206,0.0002451051,0.00005870731,0.0002048717,0.00005271793],"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":[0.0002773578,0.000148627,0.01067583,0.001229333,0.0001632248,0.003223911,0.00223994,0.001567968,0.008038407,0.004084614,0.09801076,0.8703399],"study_design_scores_gemma":[0.0003536727,0.0005624882,0.1700063,0.002046374,0.0005468575,0.01045289,0.003373195,0.001405484,0.002576088,0.004294247,0.804256,0.0001264457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1656199,0.1569447,0.02072193,0.007729395,0.007981083,0.004035003,0.03220532,0.004531414,0.6002313],"genre_scores_gemma":[0.5723101,0.04827126,0.03202146,0.006467696,0.001946311,0.004090422,0.02924144,0.0006035513,0.3050477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04011106,"threshold_uncertainty_score":0.09959769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05676893581822962,"score_gpt":0.2282187227387365,"score_spread":0.1714497869205069,"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."}}