{"id":"W1974882681","doi":"10.1109/access.2014.2348943","title":"Algorithms for Smartphone and Tablet Image Analysis for Healthcare Applications","year":2014,"lang":"en","type":"article","venue":"IEEE Access","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education, India; University of Manitoba","keywords":"Computer science; Health care; Computer vision; Artificial intelligence; Multimedia","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":[0.0007091704,0.001115236,0.0006867501,0.001777445,0.0004764818,0.001869011,0.001192352,0.00128738,0.01962441],"category_scores_gemma":[0.003921225,0.0004504783,0.0008541576,0.001563515,0.0003761314,0.001290101,0.001077771,0.001005273,0.0134801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006810537,"about_ca_system_score_gemma":0.001000684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003036906,"about_ca_topic_score_gemma":0.003765866,"domain_scores_codex":[0.9989576,0.0001455561,0.0001000033,0.0001694285,0.000564744,0.00006263359],"domain_scores_gemma":[0.998931,0.0002361665,0.0000788433,0.0002281137,0.0004814204,0.0000444286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000231659,0.000101502,0.0007230384,0.000350264,0.00006602627,0.000189098,0.0001250982,0.01444993,0.04908989,0.01468702,0.03067571,0.8893107],"study_design_scores_gemma":[0.0001195076,0.0002343868,0.003370595,0.000156729,0.00007075869,0.0009584654,0.0002075786,0.7368554,0.06401443,0.02294625,0.1709602,0.0001055376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00255033,0.00101839,0.9855061,0.0003349757,0.0001582772,0.0002570648,0.0003246627,0.00518886,0.004661385],"genre_scores_gemma":[0.04601591,0.00120225,0.938901,0.0003044204,0.000140693,0.00049641,0.001074987,0.0005983629,0.01126596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01962441,"threshold_uncertainty_score":0.06565022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04816562935231904,"score_gpt":0.399530300624438,"score_spread":0.351364671272119,"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."}}