{"id":"W6893568211","doi":"10.5281/zenodo.3793225","title":"Ilybius biguttulus","year":2008,"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":"Nova Scotia Hospital","funders":"","keywords":"Vegetation (pathology); Habitat; Lake ecosystem; Locality; Aquatic ecosystem","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":[0.0001344077,0.0006038403,0.0002847584,0.001025759,0.0009139394,0.0002658518,0.0003985731,0.0002391684,0.01169227],"category_scores_gemma":[0.0002542815,0.000154125,0.000127024,0.0004269258,0.0004682875,0.0004986231,0.001103022,0.0003059539,0.002919039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004652133,"about_ca_system_score_gemma":0.0001974072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01177901,"about_ca_topic_score_gemma":0.01822637,"domain_scores_codex":[0.9999112,0.0000119799,0.000006472806,0.00003103286,0.00001782401,0.00002147551],"domain_scores_gemma":[0.9999028,0.00001573322,0.00003722712,0.00000842161,0.0000181018,0.00001771001],"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":[0.0009601053,0.0001334821,0.07902926,0.001713395,0.00005628321,0.002015999,0.002397351,0.0009276083,0.02974904,0.006570299,0.04787394,0.8285732],"study_design_scores_gemma":[0.000087673,0.0005605005,0.6424666,0.001079242,0.00009850969,0.004795465,0.002360386,0.001086259,0.004779959,0.001708446,0.3409259,0.00005112818],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.551973,0.03213628,0.006204762,0.001250358,0.00132194,0.0004260151,0.003724943,0.001119979,0.4018427],"genre_scores_gemma":[0.9485512,0.00513465,0.004298337,0.0008149194,0.0001932897,0.0001788575,0.003002428,0.00006508493,0.03776136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01177901,"threshold_uncertainty_score":0.03911448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03164059432367531,"score_gpt":0.193688449297851,"score_spread":0.1620478549741756,"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."}}