{"id":"W6960380875","doi":"10.1371/journal.pone.0001794.g005","title":"Cross-Correlation Analysis of Specific Resting-State Networks.","year":2015,"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":"Pattern recognition (psychology); Space (punctuation); Color space; Region of interest; Feature (linguistics)","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":[0.0003460479,0.0002716354,0.0001783425,0.0006620308,0.0001663716,0.0003128922,0.0002989082,0.0002236608,0.01573691],"category_scores_gemma":[0.001330861,0.0001394732,0.0003060128,0.0005284605,0.000154963,0.0003255953,0.0003350935,0.0002227132,0.001349808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002550115,"about_ca_system_score_gemma":0.0002178057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004073864,"about_ca_topic_score_gemma":0.007180484,"domain_scores_codex":[0.9999272,0.000009157885,0.000003239476,0.00003714993,0.00001209196,0.00001120652],"domain_scores_gemma":[0.9997937,0.00007543995,0.00002624895,0.0000367834,0.0000407401,0.00002704768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001784136,0.0003203618,0.045469,0.0009446518,0.00169434,0.001188968,0.001230353,0.0417558,0.2980394,0.01954181,0.08810073,0.4999304],"study_design_scores_gemma":[0.0001049397,0.0005117093,0.6888729,0.0001065782,0.0004764827,0.002244716,0.0003261686,0.1943378,0.07895227,0.01049981,0.02341903,0.0001476724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8096306,0.0007206646,0.1367433,0.0002531791,0.0001079634,0.0001608651,0.02200563,0.00347017,0.02690766],"genre_scores_gemma":[0.9558244,0.0001794654,0.02597371,0.00004794,0.00002419476,0.0001736546,0.008742383,0.0006274234,0.008406923],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01573691,"threshold_uncertainty_score":0.05264521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0498083096976077,"score_gpt":0.2609137826032338,"score_spread":0.2111054729056261,"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."}}