{"id":"W6961234776","doi":"10.1371/journal.pone.0291871.g009","title":"METIS partitioning of lj4m: Difference from &lt;i&gt;M&lt;/i&gt; = 1 with different &lt;i&gt;M&lt;/i&gt; and Δ.","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metis; Graph; Divergence (linguistics); Graph partition","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":[0.001152026,0.001463042,0.0008096305,0.001275218,0.0007590497,0.001277165,0.001822612,0.001247354,0.01553473],"category_scores_gemma":[0.007661305,0.0004286984,0.001015248,0.0008036577,0.0005242802,0.001995354,0.0009879331,0.001738445,0.004605642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001093302,"about_ca_system_score_gemma":0.001785587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00626196,"about_ca_topic_score_gemma":0.0110605,"domain_scores_codex":[0.9993951,0.000196864,0.0000354552,0.0001358322,0.0001124272,0.0001241996],"domain_scores_gemma":[0.9973,0.001403748,0.0001139887,0.0006914576,0.0002843257,0.0002064794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003676872,0.001309333,0.01002547,0.002613245,0.000484232,0.0005085734,0.000728781,0.3962526,0.0512888,0.06112491,0.1240874,0.3478998],"study_design_scores_gemma":[0.0003510301,0.0004508964,0.002378658,0.0001464936,0.00009609198,0.0002140191,0.0004148931,0.9120977,0.02419518,0.03096698,0.02862414,0.00006386416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3020503,0.002811899,0.5334643,0.003927473,0.001848017,0.0008543045,0.01419295,0.06663049,0.07422031],"genre_scores_gemma":[0.5423355,0.0006170209,0.422447,0.001145222,0.0001042462,0.0009354817,0.01230429,0.008787166,0.01132402],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01553473,"threshold_uncertainty_score":0.05196887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839954148018414,"score_gpt":0.2172229379149904,"score_spread":0.1888233964348063,"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."}}