{"id":"W2560741024","doi":"10.1083/jcb.201610026","title":"Machine learning and computer vision approaches for phenotypic profiling","year":2016,"lang":"en","type":"review","venue":"The Journal of Cell Biology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Profiling (computer programming); Computer science; Artificial intelligence; Segmentation; Machine learning; Cluster analysis; Feature extraction; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001769574,0.001705278,0.001693357,0.005352534,0.0003806113,0.001895681,0.00226046,0.002223978,0.003145764],"category_scores_gemma":[0.002289331,0.0004905157,0.001106162,0.004335767,0.001813164,0.00237323,0.001070285,0.004088284,0.003154811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578357,"about_ca_system_score_gemma":0.001248498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001342696,"about_ca_topic_score_gemma":0.001206544,"domain_scores_codex":[0.9992586,0.0001279874,0.00007215477,0.000157341,0.0003431214,0.00004081109],"domain_scores_gemma":[0.9988569,0.0006174335,0.00008585444,0.00005789254,0.0003297754,0.00005203165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003571639,0.000108643,0.0003145008,0.007925619,0.0001206531,0.0002180986,0.00009545885,0.002137542,0.003386595,0.03567819,0.01854673,0.9314323],"study_design_scores_gemma":[0.00001424201,0.0001333156,0.001437114,0.002782162,0.00009957056,0.001829758,0.00008907505,0.002410991,0.00347093,0.03601908,0.9516035,0.0001103273],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003219769,0.9719058,0.02052923,0.0009930449,0.0006627216,0.00004386072,0.00006942188,0.00009860629,0.0053753],"genre_scores_gemma":[0.00362276,0.9765039,0.01502222,0.0006330176,0.0009214144,0.00008702566,0.0001197081,0.00002320353,0.003066742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005352534,"threshold_uncertainty_score":0.01145184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551594630556943,"score_gpt":0.3139999266580728,"score_spread":0.2884839803525034,"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."}}