{"id":"W4393032857","doi":"10.17504/protocols.io.5jyl8p328g2w/v1","title":"Metagenomic library plates v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metagenomics; Geology; Biology; Computer science; Genetics","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":[0.001633859,0.00451751,0.00321973,0.005429399,0.00188653,0.002310002,0.003491277,0.002196285,0.08551005],"category_scores_gemma":[0.0026443,0.002826716,0.002517594,0.004022771,0.001038038,0.001214827,0.002731789,0.004551752,0.09482455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125554,"about_ca_system_score_gemma":0.001603912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003125339,"about_ca_topic_score_gemma":0.009264332,"domain_scores_codex":[0.9966128,0.0004246846,0.0002469907,0.001081106,0.001067195,0.0005671105],"domain_scores_gemma":[0.9985229,0.0003536774,0.00007358215,0.0005687136,0.000261848,0.0002192126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009131831,0.0002818525,0.001097877,0.001033402,0.0001423306,0.0002528527,0.0002108159,0.0004543337,0.9161049,0.002487877,0.0491478,0.02787271],"study_design_scores_gemma":[0.0001782748,0.0004042755,0.005929246,0.0001630546,0.0001957381,0.0005476915,0.00009447134,0.001899688,0.7199014,0.001383503,0.2691398,0.0001628406],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04627962,0.002907019,0.3377296,0.001372949,0.001280245,0.007854154,0.4546512,0.0766899,0.07123541],"genre_scores_gemma":[0.03587378,0.002121168,0.2357971,0.001051151,0.0002222166,0.007507776,0.6101486,0.01793342,0.08934487],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08551005,"threshold_uncertainty_score":0.2860596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870613655584593,"score_gpt":0.2780556946644144,"score_spread":0.2593495581085685,"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."}}