{"id":"W2977512614","doi":"10.3390/make1040059","title":"Towards Image Classification with Machine Learning Methodologies for Smartphones","year":2019,"lang":"en","type":"article","venue":"Machine Learning and Knowledge Extraction","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Machine learning; Artificial intelligence; Transfer of learning; Deep learning; Inductive transfer; Android (operating system); Butterfly; Robot learning; Mobile robot","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":[0.001012001,0.0007414211,0.0005933704,0.00149882,0.0002695347,0.001428697,0.00108649,0.001152755,0.003083625],"category_scores_gemma":[0.003324058,0.0003239312,0.0006400034,0.001144919,0.0004699803,0.001748454,0.0008905046,0.001226869,0.002144034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000672773,"about_ca_system_score_gemma":0.0006045722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112227,"about_ca_topic_score_gemma":0.0021462,"domain_scores_codex":[0.9993666,0.0001497338,0.00004461922,0.0001305375,0.0002688659,0.00003959533],"domain_scores_gemma":[0.998862,0.0003623644,0.0001069486,0.0001695533,0.0004648775,0.00003429647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006278251,0.0001499692,0.001252383,0.0003784602,0.00006278897,0.00009874494,0.00008935711,0.06252555,0.01986067,0.02286659,0.006851627,0.8858011],"study_design_scores_gemma":[0.000009152092,0.00008849225,0.0009123188,0.00006862728,0.0000140436,0.0001029371,0.00006723255,0.9440061,0.01270882,0.02959078,0.01241178,0.00001972485],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005839241,0.002098364,0.9882103,0.0005047438,0.00008956046,0.00009372029,0.00009791087,0.001232345,0.001833717],"genre_scores_gemma":[0.113137,0.002199773,0.8800222,0.0002390107,0.0001492127,0.0001767736,0.000309491,0.00009853795,0.00366815],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003083625,"threshold_uncertainty_score":0.01031572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04041390575654397,"score_gpt":0.3617916414214947,"score_spread":0.3213777356649507,"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."}}