{"id":"W6892464929","doi":"10.5281/zenodo.10667971","title":"Acalypha lamiana I. Montero & Cardiel","year":2023,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant chemical constituents analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Endemism; Deciduous; Mountain range (options); Range (aeronautics); Genus","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":[0.0001118144,0.0003993654,0.0001834995,0.001461738,0.001149331,0.0002895184,0.0003984187,0.000374609,0.02414276],"category_scores_gemma":[0.0001719251,0.0001387323,0.000187115,0.0006448019,0.0003297183,0.0004172909,0.0004580939,0.0004778923,0.008507066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008405909,"about_ca_system_score_gemma":0.0003774128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02734065,"about_ca_topic_score_gemma":0.08282914,"domain_scores_codex":[0.9998668,0.00001559543,0.000005960801,0.00003882915,0.00004985,0.00002297814],"domain_scores_gemma":[0.9999249,0.00001457136,0.00002152614,0.00000730591,0.00002198347,0.000009736695],"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":[0.0001704445,0.00007219636,0.006700041,0.0006641283,0.00002101302,0.0009888845,0.001034519,0.0001252123,0.01876686,0.004417745,0.05852311,0.9085158],"study_design_scores_gemma":[0.00001756929,0.00009968418,0.1342297,0.0003554523,0.0000316607,0.001754809,0.00046048,0.0001284694,0.00214593,0.000679119,0.8600776,0.00001960634],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08660984,0.03789911,0.002156531,0.002439652,0.0006201212,0.00034445,0.004518382,0.0006163531,0.8647957],"genre_scores_gemma":[0.7573014,0.01659369,0.006733811,0.002283209,0.0006463124,0.0002443175,0.004502074,0.0001061395,0.2115889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02734065,"threshold_uncertainty_score":0.0807656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779520060625651,"score_gpt":0.237169812983342,"score_spread":0.1893746123770855,"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."}}