{"id":"W6968493031","doi":"10.5281/zenodo.7003402","title":"Exocelina ferruginea AU","year":2022,"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":"Laurentian University","funders":"","keywords":"Instar; Dorsum; Margin (machine learning); Larva; Table (database)","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":[0.00006908026,0.0006297235,0.0002395329,0.001440544,0.0008509653,0.0002773691,0.0003993777,0.0002486226,0.01348982],"category_scores_gemma":[0.0002217126,0.00008579759,0.0001515457,0.000474972,0.0002577507,0.0003596261,0.0006324777,0.0002443651,0.002118348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005920398,"about_ca_system_score_gemma":0.0001533033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888377,"about_ca_topic_score_gemma":0.03098786,"domain_scores_codex":[0.999936,0.000007911904,0.000005352849,0.00002528516,0.0000138666,0.00001167405],"domain_scores_gemma":[0.9999468,0.000007736025,0.00001926564,0.00000668382,0.00001211452,0.000007276997],"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":[0.0003965274,0.0002131213,0.09174435,0.001181248,0.0001077285,0.003750351,0.001951734,0.001057512,0.08571473,0.003036713,0.009351371,0.8014947],"study_design_scores_gemma":[0.00003705973,0.0003177079,0.7889845,0.0002816566,0.00005378769,0.006358417,0.0008143991,0.0005427678,0.004066859,0.0007033446,0.1978125,0.00002695415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7983188,0.007673707,0.002090428,0.0003612043,0.0001492568,0.0001524948,0.002462599,0.0005779142,0.1882136],"genre_scores_gemma":[0.9797961,0.0007604458,0.001353732,0.0001171763,0.00005109919,0.00003511045,0.001325819,0.00002016108,0.01654046],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01888377,"threshold_uncertainty_score":0.04512793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577695111776418,"score_gpt":0.1971516144156708,"score_spread":0.1713746632979066,"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."}}