{"id":"W2142284292","doi":"10.1177/1087057102239779","title":"Automated Screening of Neurite Outgrowth","year":2003,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"Circle Cardiovascular Imaging","funders":"","keywords":"Neurite; Tracing; Computer science; Artificial intelligence; Neuroscience; Pattern recognition (psychology); Computer hardware; Chemistry; Biology; In vitro","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":[],"consensus_categories":[],"category_scores_codex":[0.0006302633,0.0007817325,0.001120109,0.001991632,0.0007553066,0.001144588,0.0009117668,0.0005157022,0.003583781],"category_scores_gemma":[0.0009982241,0.0003581129,0.0007688305,0.001076274,0.00020304,0.0003637766,0.0008469276,0.000610311,0.002837547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007739235,"about_ca_system_score_gemma":0.0011722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002425586,"about_ca_topic_score_gemma":0.005851788,"domain_scores_codex":[0.9992993,0.00006044996,0.00003867333,0.0001299381,0.0003699073,0.0001017134],"domain_scores_gemma":[0.9990007,0.0003326434,0.00009854869,0.0001585792,0.0003331981,0.00007619262],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003440916,0.0001296937,0.003516219,0.0002885789,0.00007164967,0.0001516706,0.00005375312,0.003274535,0.7890483,0.0009107475,0.003509946,0.1987007],"study_design_scores_gemma":[0.00003632543,0.0002026222,0.01723649,0.00002821063,0.00007726246,0.0004880903,0.0000632539,0.1247072,0.8470535,0.001268545,0.00879439,0.00004413371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4931166,0.001612833,0.4542628,0.0003410281,0.00009131665,0.0003367353,0.01068468,0.03238415,0.007169865],"genre_scores_gemma":[0.5182369,0.001224604,0.4523047,0.0001882495,0.00003336948,0.000662955,0.01702399,0.0009830969,0.009342249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003583781,"threshold_uncertainty_score":0.011989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006881868910243004,"score_gpt":0.2556641510413356,"score_spread":0.2487822821310926,"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."}}