{"id":"W6929929724","doi":"10.5281/zenodo.10667965","title":"Acalypha humbertii Leandri","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biochemical Analysis and Sensing Techniques","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Thicket; Deciduous; Vegetation (pathology); Habitat; Endemism; Endangered species","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":[0.00009617199,0.0007229321,0.0003137758,0.002202609,0.0019961,0.000481582,0.0005592707,0.0004468241,0.01444763],"category_scores_gemma":[0.0003046513,0.0001917287,0.0001728769,0.001003305,0.0005466695,0.0006841978,0.0006573858,0.0005823483,0.006691612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148058,"about_ca_system_score_gemma":0.0004296913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137735,"about_ca_topic_score_gemma":0.04229212,"domain_scores_codex":[0.9998374,0.00001774136,0.000008509799,0.00004884961,0.00006229196,0.00002517132],"domain_scores_gemma":[0.9998688,0.00002324435,0.00003931189,0.00000886396,0.00004593309,0.00001386684],"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":[0.0002142346,0.00007219963,0.007915944,0.0006410948,0.000031771,0.001290351,0.001380546,0.0003854629,0.0117812,0.00556957,0.04745161,0.9232661],"study_design_scores_gemma":[0.0000366144,0.000154138,0.1282727,0.0004848814,0.00006680564,0.003835177,0.0007427901,0.000370381,0.003153435,0.002192636,0.8606589,0.00003152267],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1642118,0.05328638,0.006648814,0.002131661,0.001433123,0.0005985522,0.006154809,0.0009072259,0.7646276],"genre_scores_gemma":[0.841526,0.01278124,0.006769948,0.001610516,0.0006850139,0.0002887873,0.003893267,0.00007346782,0.1323718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02137735,"threshold_uncertainty_score":0.04833215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558279839654514,"score_gpt":0.2748833734497105,"score_spread":0.2293005750531654,"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."}}