{"id":"W6926691291","doi":"10.25545/glkhd9/hkfzp9","title":"fullz0.png","year":2024,"lang":"en","type":"dataset","venue":"UNB Dataverse","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00150928,0.00426391,0.003244352,0.006561449,0.00163816,0.005816162,0.005589037,0.003144617,0.4072438],"category_scores_gemma":[0.007246713,0.001800054,0.001577009,0.01174281,0.0009797375,0.003747653,0.005530529,0.002617785,0.4853747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636707,"about_ca_system_score_gemma":0.002178265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01217485,"about_ca_topic_score_gemma":0.0169306,"domain_scores_codex":[0.9988939,0.0001984757,0.00008676817,0.0003941648,0.0002256714,0.0002009967],"domain_scores_gemma":[0.9978902,0.0006724243,0.0001681132,0.0006028053,0.0002902249,0.0003762745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007115467,0.00001656689,0.0002431739,0.0009860292,0.00003703604,0.00001417095,0.00004353989,0.000176455,0.0001308182,0.0008770645,0.9954973,0.001906638],"study_design_scores_gemma":[0.0002240358,0.00001051268,0.0007061735,0.0002444132,0.00002183277,0.00002451358,0.00004933623,0.000192298,0.0002610043,0.001913919,0.9963219,0.0000300006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003740575,0.00006078753,0.00006229444,0.00004051961,0.00001480642,0.000005854586,0.9972204,0.001354936,0.001202967],"genre_scores_gemma":[0.0003415082,0.00009252658,0.0003069474,0.00006466522,0.000009040101,0.00006925369,0.9971316,0.001065357,0.00091906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5927562,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009033748355301734,"score_gpt":0.2366330121128496,"score_spread":0.2275992637575479,"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."}}