{"id":"W6931094149","doi":"10.5281/zenodo.4752986","title":"Isoperla bilineata","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Range (aeronautics); Biodiversity; Holotype","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":[0.0001123232,0.0005593363,0.000192332,0.0009415537,0.001398201,0.0004268702,0.0003738797,0.0004361905,0.01942752],"category_scores_gemma":[0.0002793201,0.0001964676,0.0001429399,0.0002825258,0.0003336472,0.001036337,0.000827889,0.0004719236,0.007555868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006834695,"about_ca_system_score_gemma":0.0002146877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006560376,"about_ca_topic_score_gemma":0.01507823,"domain_scores_codex":[0.9998958,0.000009339657,0.000009062794,0.00004483878,0.00002284452,0.00001805725],"domain_scores_gemma":[0.9998503,0.00002188789,0.00004201146,0.00001458584,0.00004944955,0.00002176076],"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":[0.001136057,0.0002735021,0.03862683,0.002697956,0.00008657535,0.002849363,0.002932039,0.001086951,0.3003419,0.007987661,0.04581692,0.5961643],"study_design_scores_gemma":[0.00008259936,0.0004021348,0.2356053,0.0006839201,0.00008578119,0.00622539,0.001793192,0.0006698021,0.01690011,0.00182813,0.7356692,0.0000544693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4234411,0.01396364,0.009191106,0.001493104,0.0004855279,0.000403284,0.006074799,0.00124801,0.5436994],"genre_scores_gemma":[0.9070128,0.002736052,0.005871694,0.001362953,0.0001128728,0.0001188325,0.002407849,0.0001228942,0.08025409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01942752,"threshold_uncertainty_score":0.06499147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06333794276938817,"score_gpt":0.2619960210150398,"score_spread":0.1986580782456516,"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."}}