{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009553269,0.0002207164,0.0002645907,0.0001796416,0.0003357263,0.0001940509,0.0002036974,0.0001004716,0.00001857696],"category_scores_gemma":[0.0005009918,0.0001740933,0.00006393895,0.0003135102,0.00005093764,0.0009130667,0.0001088961,0.0005723083,0.00003454813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004938625,"about_ca_system_score_gemma":0.00004310496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004895266,"about_ca_topic_score_gemma":0.00001593416,"domain_scores_codex":[0.9985668,0.0002884226,0.0002221928,0.0005227147,0.0001350809,0.0002647538],"domain_scores_gemma":[0.9987738,0.0005322808,0.0002187209,0.0002161037,0.0001969428,0.00006222689],"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":[0.0001765309,0.00005966006,0.01017926,0.000140113,0.00002821916,0.0000025235,0.0006294574,0.00007214853,0.06077342,0.003043214,0.00006068105,0.9248348],"study_design_scores_gemma":[0.00177217,0.002545287,0.02255406,0.0001550888,0.00006052851,0.000159366,0.0004317243,0.554139,0.08193883,0.00487351,0.330465,0.0009054511],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008105407,0.0017258,0.9843132,0.0003852028,0.0002059263,0.000342416,0.000001685253,0.0007895216,0.004130838],"genre_scores_gemma":[0.5709367,0.0006090948,0.4218633,0.00002551125,0.000103579,0.00005948188,0.00003764682,0.00003437297,0.006330266],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9239293,"threshold_uncertainty_score":0.7099317,"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."}}