{"id":"W6926645510","doi":"10.25545/4upj00/cqlsnm","title":"pp.m","year":2023,"lang":"ja","type":"dataset","venue":"UNB Dataverse","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","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":[0.0007745118,0.003049925,0.002359726,0.003629327,0.0009196001,0.00541551,0.003019875,0.001692673,0.5769848],"category_scores_gemma":[0.004752409,0.001061212,0.001618383,0.006554707,0.0005308203,0.003009515,0.00429273,0.002259345,0.7294041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009052848,"about_ca_system_score_gemma":0.0009671251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006817941,"about_ca_topic_score_gemma":0.01090883,"domain_scores_codex":[0.9992642,0.00009757698,0.00005852796,0.0003220776,0.0001419959,0.0001157032],"domain_scores_gemma":[0.9985574,0.0003100745,0.0001040851,0.0004845196,0.0001924318,0.0003515538],"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":[0.00004291418,0.000007581125,0.0001004863,0.0002267412,0.000009834865,0.000006540901,0.000007777667,0.00004371491,0.00006711361,0.0002459317,0.996289,0.002952505],"study_design_scores_gemma":[0.00009367536,0.00001026539,0.0006409671,0.0001514059,0.000006179291,0.00001990101,0.00002152476,0.0001655211,0.0001360622,0.001229684,0.9975137,0.00001119931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008532119,0.000185526,0.0001449335,0.0001395993,0.00009622184,0.00001272963,0.9885924,0.004506391,0.006236885],"genre_scores_gemma":[0.0005463319,0.0001939521,0.0004366578,0.0002095876,0.00003904778,0.00005536328,0.9900004,0.002030879,0.006487768],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4230152,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02058059799400191,"score_gpt":0.2513642873010533,"score_spread":0.2307836893070514,"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."}}