{"id":"W6893909743","doi":"10.5281/zenodo.4763325","title":"Leuctra ferruginea","year":2017,"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":"Ridge; Plateau (mathematics); Physiographic province; State (computer science)","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":[0.00009908968,0.0005909909,0.0002887187,0.001298929,0.002156065,0.000595646,0.0005229421,0.0005126064,0.02340347],"category_scores_gemma":[0.0003701537,0.0001664059,0.0002108527,0.0004899321,0.000598846,0.001099481,0.0009594616,0.0005967063,0.006018339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001008049,"about_ca_system_score_gemma":0.0003443599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02782528,"about_ca_topic_score_gemma":0.05731469,"domain_scores_codex":[0.9998326,0.00001540977,0.00001384145,0.00006872226,0.00004505859,0.00002428337],"domain_scores_gemma":[0.999917,0.00001039635,0.00002940715,0.000009582432,0.00001844393,0.00001504565],"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":[0.000755461,0.0003481318,0.06248853,0.001559525,0.0001095508,0.00659323,0.004805335,0.001940108,0.1057441,0.01034757,0.03255169,0.7727567],"study_design_scores_gemma":[0.0000775662,0.0004939573,0.4090223,0.0007256666,0.0001362876,0.01958957,0.002601373,0.001177766,0.007952605,0.003414651,0.554722,0.00008622005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.511709,0.009977764,0.006563752,0.001756195,0.0004579609,0.0003944596,0.004602633,0.001816148,0.4627221],"genre_scores_gemma":[0.9293669,0.001419827,0.00279005,0.0008970966,0.0001017817,0.00008479317,0.00157005,0.00007599244,0.06369345],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02782528,"threshold_uncertainty_score":0.07829237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03604501399526065,"score_gpt":0.2225870261400601,"score_spread":0.1865420121447995,"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."}}