{"id":"W6893657237","doi":"10.5281/zenodo.3788273","title":"Atteva aurea","year":2010,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of Guelph","funders":"","keywords":"Male genitalia; Type locality; Type (biology); Type species; Taxonomy (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001415344,0.0006612287,0.0003954468,0.001733009,0.002188234,0.0009123338,0.0005368507,0.00056206,0.04819391],"category_scores_gemma":[0.0004057258,0.0001819798,0.0003022112,0.0007542712,0.0005127176,0.001282586,0.001356148,0.001108475,0.01674408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007672178,"about_ca_system_score_gemma":0.0003987101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01236779,"about_ca_topic_score_gemma":0.03093753,"domain_scores_codex":[0.9997221,0.00001921184,0.00001743726,0.0001210855,0.00007572249,0.00004460156],"domain_scores_gemma":[0.9998252,0.00002219395,0.00005072175,0.00002948566,0.00005321853,0.00001908687],"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":[0.0002552177,0.00009093776,0.01011174,0.0006327882,0.00004663875,0.001370325,0.001675263,0.0003872073,0.01378797,0.01592415,0.09709283,0.858625],"study_design_scores_gemma":[0.00001232712,0.0000321279,0.02670538,0.0002324481,0.00002427846,0.001513504,0.000369603,0.00008768103,0.001142338,0.001183754,0.968683,0.00001355583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06073698,0.01526375,0.004680735,0.001521068,0.001772476,0.0002358122,0.007204616,0.001557535,0.9070269],"genre_scores_gemma":[0.5610803,0.0066753,0.01012795,0.002558728,0.001102341,0.0002070244,0.008272218,0.0005278708,0.4094483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04819391,"threshold_uncertainty_score":0.1612247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025662872744817,"score_gpt":0.2098850514862288,"score_spread":0.1896284227587806,"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."}}