{"id":"W6930039930","doi":"10.5281/zenodo.10667978","title":"Acalypha lepidopagensis Leandri","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature","funders":"","keywords":"Threatened species; Habitat; Massif; Protected area; Vegetation (pathology); Endemism; Evergreen; Altitude (triangle)","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":[0.00009705884,0.0005888026,0.00023735,0.002279079,0.001341875,0.0003354544,0.0004214783,0.0002869703,0.01316444],"category_scores_gemma":[0.0002009781,0.0001955365,0.0001637914,0.0009078074,0.0003343204,0.0004734615,0.0005285325,0.0003887411,0.004362585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004525457,"about_ca_system_score_gemma":0.0002564559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009513846,"about_ca_topic_score_gemma":0.01664023,"domain_scores_codex":[0.9998857,0.00001291521,0.00001115072,0.00003299462,0.00003797089,0.0000191678],"domain_scores_gemma":[0.9998741,0.00001876755,0.00005756739,0.000007674225,0.00002924876,0.00001265639],"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":[0.0002719482,0.0001224755,0.02514175,0.0009958521,0.00004702276,0.001854335,0.002094535,0.0002576112,0.03066836,0.002244784,0.02304533,0.913256],"study_design_scores_gemma":[0.00006047283,0.0004210908,0.4998017,0.0006028327,0.0001131664,0.008653065,0.001624078,0.000374946,0.004483685,0.001233927,0.4825846,0.00004641027],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4567509,0.0601983,0.004530093,0.001360555,0.0006580813,0.0006912508,0.01029242,0.0007210252,0.4647973],"genre_scores_gemma":[0.9431654,0.01141614,0.004882856,0.0005361694,0.0002702787,0.0002214785,0.004747773,0.00003464315,0.03472529],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01316444,"threshold_uncertainty_score":0.04403943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02876714763754723,"score_gpt":0.2282426100100226,"score_spread":0.1994754623724754,"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."}}