{"id":"W6949801202","doi":"10.5281/zenodo.15194217","title":"Veronica cinerea Boiss. & Balansa","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Type (biology); Taxonomy (biology); Morphology (biology); Pathogenicity","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":[0.000232172,0.001615767,0.0005485605,0.00244483,0.001544634,0.000822008,0.000804133,0.0007504037,0.00618234],"category_scores_gemma":[0.0003054441,0.0003355847,0.0002454785,0.001551863,0.0005111436,0.00193839,0.0007844256,0.001084122,0.00441393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224564,"about_ca_system_score_gemma":0.0003289886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03166383,"about_ca_topic_score_gemma":0.05358277,"domain_scores_codex":[0.9997106,0.0000344231,0.00002393356,0.0001197316,0.00005938739,0.00005194037],"domain_scores_gemma":[0.9998023,0.00003154224,0.00005783211,0.0000155724,0.00006812793,0.00002465153],"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":[0.0005790459,0.0002967765,0.02094815,0.001916929,0.000113583,0.003408784,0.002780445,0.0005646971,0.0979941,0.003344211,0.03469302,0.8333603],"study_design_scores_gemma":[0.00004865975,0.0003055556,0.2902332,0.0008407499,0.0001199183,0.005555423,0.001669063,0.0003246851,0.006237098,0.001028857,0.6935689,0.00006774648],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2641611,0.1883422,0.008890902,0.003430513,0.00415564,0.001067424,0.009040815,0.001285795,0.5196256],"genre_scores_gemma":[0.8614065,0.03333744,0.009608977,0.002103407,0.0005960966,0.0002818109,0.0111679,0.0002071839,0.08129071],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03166383,"threshold_uncertainty_score":0.06295907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266430306159949,"score_gpt":0.2277668970566362,"score_spread":0.2151025939950367,"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."}}