{"id":"W6968233092","doi":"10.5281/zenodo.13848250","title":"Hydrosmittia Ferrington & Saether 2011","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Larva; Peninsula; Period (music); Fauna","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":[0.0001130049,0.0003559261,0.0001450566,0.001254891,0.001044262,0.000294655,0.0002751634,0.0004230562,0.01067895],"category_scores_gemma":[0.0004317438,0.0001606276,0.0001996145,0.0003284183,0.0003551309,0.0008991281,0.0005682405,0.0003173236,0.001744273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005399804,"about_ca_system_score_gemma":0.0003452633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343278,"about_ca_topic_score_gemma":0.02756047,"domain_scores_codex":[0.9999045,0.000008392953,0.000009895824,0.00002818881,0.00003318676,0.00001587312],"domain_scores_gemma":[0.9998589,0.00001646702,0.00004444244,0.0000206047,0.00003898683,0.00002057375],"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":[0.0002845654,0.0001705509,0.06042977,0.0006410918,0.00005067907,0.002472823,0.001508374,0.0008487892,0.1177887,0.002854354,0.02695516,0.7859952],"study_design_scores_gemma":[0.00004027794,0.0003864187,0.6592119,0.0004535037,0.00005727347,0.00776695,0.001472503,0.001108509,0.01541362,0.001752838,0.3122959,0.0000401869],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704422,0.007365868,0.005888222,0.001456421,0.0005377997,0.0004266758,0.002935902,0.0007806945,0.2761864],"genre_scores_gemma":[0.9556181,0.001556096,0.003884431,0.0003800771,0.00008797421,0.00005548242,0.001247625,0.00002438722,0.03714591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01343278,"threshold_uncertainty_score":0.03572464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129236776670974,"score_gpt":0.206033684980126,"score_spread":0.1847413172134163,"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."}}