{"id":"W6968240039","doi":"10.5281/zenodo.3350903","title":"NeuroBundle Extraction and Evaluation Resource","year":2019,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"","keywords":"Cluster analysis; Extraction (chemistry); Resource (disambiguation); Filter (signal processing); Cluster (spacecraft); Fiber; Adaptation (eye)","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":[0.003175964,0.002847847,0.002012097,0.00682424,0.001143048,0.003830793,0.004047839,0.001791033,0.3424824],"category_scores_gemma":[0.01967432,0.001049503,0.001933846,0.003860726,0.0006083301,0.003527325,0.005174465,0.001619586,0.2597289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071703,"about_ca_system_score_gemma":0.002412204,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003959005,"about_ca_topic_score_gemma":0.007947654,"domain_scores_codex":[0.9981022,0.0002580002,0.0002683289,0.0005201478,0.0006439891,0.0002073762],"domain_scores_gemma":[0.9933744,0.002202225,0.0003729197,0.001685472,0.001971699,0.0003932646],"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":[0.0001761174,0.0000346634,0.000658859,0.0004309413,0.00004195576,0.0001986794,0.00004651064,0.001360891,0.0009028718,0.003394619,0.9461246,0.04662926],"study_design_scores_gemma":[0.0002625209,0.00006343755,0.00308326,0.0003890382,0.00007961498,0.0008044002,0.00009370582,0.02694734,0.007768413,0.03920501,0.92111,0.000193307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.002322566,0.000760118,0.1775945,0.0006503453,0.0005125354,0.0005881687,0.4490357,0.3316016,0.03693444],"genre_scores_gemma":[0.01958893,0.0005898228,0.1434212,0.0005951614,0.0002481551,0.002204355,0.7218744,0.07871772,0.03276022],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3424824,"threshold_uncertainty_score":0.937869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09664490560353751,"score_gpt":0.3434887809356314,"score_spread":0.2468438753320939,"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."}}