{"id":"W6930659146","doi":"10.5281/zenodo.15603590","title":"Plukenetia multiglandulosa Jabl., Mem.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Canadian Museum of Nature","funders":"","keywords":"Barcode; Escarpment; Base (topology); Period (music)","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":[0.0002295284,0.0006207168,0.0002833493,0.002823574,0.002247538,0.001089877,0.0005892434,0.0004819007,0.04354585],"category_scores_gemma":[0.0004439451,0.0004192643,0.0002251169,0.001963106,0.000523886,0.002027651,0.001180566,0.0009427471,0.01298547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577232,"about_ca_system_score_gemma":0.0006667446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03190956,"about_ca_topic_score_gemma":0.08674032,"domain_scores_codex":[0.9998546,0.00001671788,0.00001349182,0.00005423096,0.00002808674,0.00003290861],"domain_scores_gemma":[0.999874,0.00001973997,0.00003380493,0.00001567424,0.00003233154,0.00002441181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000275389,0.00008187838,0.01210033,0.001203916,0.00003828512,0.001029278,0.002308874,0.0002805371,0.005413834,0.007592891,0.1575973,0.8120775],"study_design_scores_gemma":[0.00001391269,0.00003386937,0.05464371,0.0002765644,0.00003296631,0.001052578,0.0006299189,0.00004885238,0.0004979473,0.00110771,0.94165,0.00001182369],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03233503,0.1051499,0.002867717,0.002996838,0.001795514,0.0003559985,0.01045655,0.001243506,0.8427989],"genre_scores_gemma":[0.4487412,0.050122,0.007799097,0.001397752,0.001191836,0.0007701621,0.01426517,0.0007253339,0.4749876],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04354585,"threshold_uncertainty_score":0.1456754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04332933154846884,"score_gpt":0.2285011568834013,"score_spread":0.1851718253349324,"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."}}