{"id":"W6968579760","doi":"10.5281/zenodo.4766121","title":"Isogenoides hansoni","year":2009,"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":"","funders":"","keywords":"Documentation; Nymph; Vegetation (pathology); Period (music)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001396048,0.0005430531,0.0001525877,0.001058661,0.0006394815,0.0002366035,0.0003396703,0.0002265985,0.007245917],"category_scores_gemma":[0.0002622366,0.0001498661,0.00009836524,0.0004579921,0.0002766599,0.0005869852,0.000601401,0.0002870746,0.002296551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004650085,"about_ca_system_score_gemma":0.0002243763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042683,"about_ca_topic_score_gemma":0.03433556,"domain_scores_codex":[0.9998597,0.0000180371,0.00001203669,0.00004165579,0.00003645162,0.00003211137],"domain_scores_gemma":[0.9998697,0.00001745518,0.00004466642,0.00001827993,0.00002779475,0.00002212975],"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":[0.0009906912,0.0006571884,0.2661688,0.0008797217,0.0000746588,0.005675725,0.003659393,0.0009590188,0.1391569,0.01131785,0.02085641,0.5496036],"study_design_scores_gemma":[0.00006519823,0.0004327291,0.8241948,0.0002756656,0.0001017083,0.005181513,0.003137539,0.0006915553,0.008868046,0.001852325,0.155152,0.00004678775],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8284199,0.002449706,0.002172963,0.0003094783,0.0001162817,0.0001858463,0.001382476,0.0002708099,0.1646926],"genre_scores_gemma":[0.9756262,0.001652212,0.002445047,0.0003629453,0.00005685883,0.0000645301,0.001625539,0.00001667267,0.01814992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01042683,"threshold_uncertainty_score":0.02424002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042288980067537,"score_gpt":0.1993402963299551,"score_spread":0.1789174065292798,"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."}}