{"id":"W6949998014","doi":"10.5281/zenodo.4341637","title":"Ovaskella ovaskae Shear & Richart & Wong 2020, new species","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gonopod; Paratype; Holotype; Seta; Taxonomy (biology)","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":[0.0001131048,0.0008370796,0.0004275081,0.002358087,0.002399206,0.0009766844,0.0008777162,0.0006180121,0.01698595],"category_scores_gemma":[0.0004598779,0.0004750718,0.0002665241,0.00133067,0.001016849,0.001716087,0.001334825,0.0009735558,0.008548698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006215625,"about_ca_system_score_gemma":0.001011046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02352066,"about_ca_topic_score_gemma":0.07062253,"domain_scores_codex":[0.9998409,0.000008313714,0.00001683706,0.00005367376,0.00005229369,0.00002801456],"domain_scores_gemma":[0.9997817,0.00002702061,0.00006169975,0.00002338395,0.00007482092,0.00003129965],"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":[0.0004566924,0.0001333321,0.02157319,0.001523835,0.00008514089,0.003460218,0.003076344,0.001154371,0.01782869,0.005631443,0.06144603,0.8836308],"study_design_scores_gemma":[0.00009226031,0.0001461245,0.1141826,0.001294143,0.0001087059,0.007513573,0.002492539,0.0003784286,0.001072315,0.001364257,0.8713052,0.00004995807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.255705,0.04341521,0.007771068,0.001373559,0.002704462,0.00103406,0.010497,0.00205013,0.6754494],"genre_scores_gemma":[0.8138279,0.02010101,0.009987867,0.001281419,0.0007074101,0.0005033982,0.007315901,0.0002237295,0.1460514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02352066,"threshold_uncertainty_score":0.05682367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04108336654708579,"score_gpt":0.2293954795766578,"score_spread":0.188312113029572,"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."}}