{"id":"W6893699399","doi":"10.5281/zenodo.3792904","title":"Meronera venustula","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":"Natural Resources Canada; Nova Scotia Hospital","funders":"","keywords":"Larva; Litter; Mycelium; Animal production","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":[0.0001028498,0.0004894825,0.0002263519,0.0008652124,0.0006974722,0.0003556259,0.0004283264,0.0003369764,0.009938905],"category_scores_gemma":[0.0002639269,0.0001720872,0.0001249636,0.0005158104,0.0003514806,0.0005540161,0.0006797195,0.0002626512,0.003001615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005728004,"about_ca_system_score_gemma":0.0002267816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596197,"about_ca_topic_score_gemma":0.06126886,"domain_scores_codex":[0.9998765,0.00001374748,0.000006851766,0.00005164574,0.00002656812,0.00002467194],"domain_scores_gemma":[0.9998934,0.00001929646,0.00003981361,0.00001237435,0.00001693604,0.00001815988],"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":[0.0004961697,0.0001042349,0.1076147,0.0009941206,0.00009527375,0.004740797,0.002726098,0.001739667,0.08456947,0.005341879,0.02641231,0.7651653],"study_design_scores_gemma":[0.00004852019,0.0002457414,0.5805451,0.0005198441,0.00006718358,0.00897238,0.001763835,0.0005540709,0.004668825,0.001102051,0.401465,0.00004738234],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6337227,0.02219208,0.003138061,0.0005417095,0.0003516474,0.0001202506,0.00334408,0.0006932043,0.3358963],"genre_scores_gemma":[0.963798,0.002546745,0.00183439,0.0003225966,0.00005290225,0.00002456687,0.001340578,0.00002582977,0.0300543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01596197,"threshold_uncertainty_score":0.0332489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196821702747896,"score_gpt":0.194989437316653,"score_spread":0.1630212202891741,"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."}}