{"id":"W7097756428","doi":"","title":"2Sherbrooke, QC,CA,Université de Sherbrooke,Sherbrooke Connectivity Imaging Lab,","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Feature (linguistics); Set (abstract data type); Noise (video); Identification (biology)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00173457,0.001587002,0.0009746216,0.002346557,0.004116827,0.002651643,0.003259007,0.002276319,0.2494101],"category_scores_gemma":[0.007119649,0.0008280165,0.0006110301,0.002111641,0.001470533,0.001727736,0.001283111,0.002668129,0.05926856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01072896,"about_ca_system_score_gemma":0.01832494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3147641,"about_ca_topic_score_gemma":0.7403026,"domain_scores_codex":[0.9986799,0.0001437583,0.00005389282,0.0004303606,0.0004646142,0.0002272814],"domain_scores_gemma":[0.9938911,0.000798101,0.0001650994,0.0005562548,0.003237551,0.001352038],"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":[0.001025462,0.0001554871,0.007325893,0.0005994915,0.0001128218,0.001377481,0.0006136679,0.0008340497,0.006388005,0.01366033,0.8167568,0.1511504],"study_design_scores_gemma":[0.0010412,0.0002976679,0.09294212,0.00101787,0.0002821019,0.004123281,0.001134133,0.005983714,0.01428876,0.01426445,0.8643948,0.0002299204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0740234,0.03168643,0.05083933,0.08192947,0.009956528,0.001942787,0.1159676,0.01090321,0.6227512],"genre_scores_gemma":[0.1156702,0.008933655,0.05614356,0.006033068,0.0008055586,0.001204515,0.0200581,0.002592015,0.7885594],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.75059,"threshold_uncertainty_score":0.8343598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02653560136468584,"score_gpt":0.2861357752977985,"score_spread":0.2596001739331127,"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."}}