{"id":"W2313882567","doi":"10.1146/annurev-neuro-061010-113742","title":"10.1146/annurev-neuro-061010-113742","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001125366,0.0001475937,0.0001667956,0.00007138781,0.0002864669,0.000227071,0.0001965228,0.0000324483,0.9985276],"category_scores_gemma":[0.00002595716,0.0001351139,0.00007696201,0.00005284293,0.0001132512,0.0001561241,0.00003398065,0.00009712542,0.9748608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002177216,"about_ca_system_score_gemma":0.00002184539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007870914,"about_ca_topic_score_gemma":0.0000266172,"domain_scores_codex":[0.9990978,0.0000464916,0.0001867402,0.0002219418,0.0001807676,0.0002663128],"domain_scores_gemma":[0.9994836,0.00003980187,0.00002775792,0.0002341454,0.00008465265,0.0001300121],"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":[0.00003563271,0.00007595881,4.688368e-7,0.000006493703,0.00002130772,0.00001031086,0.0003186515,0.00001613758,0.00004214863,0.0005984709,0.8391643,0.1597101],"study_design_scores_gemma":[0.0001457781,0.0001379184,0.00004197429,0.00001001844,0.00001497881,0.000001734407,0.000004131066,0.00006800886,0.0000347572,0.000105541,0.9992525,0.0001826522],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005906687,0.00003011563,6.628934e-8,0.000919653,0.00001653471,0.0001608566,0.00003598875,0.0001022344,0.9928279],"genre_scores_gemma":[0.004558163,8.874004e-7,0.000002818413,0.0003532433,0.0005317089,0.00001495743,0.00001245346,0.00002503705,0.9945008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1600882,"threshold_uncertainty_score":0.5509783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315252398006805,"score_gpt":0.182159355216874,"score_spread":0.1690068312368059,"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."}}