{"id":"W7005787554","doi":"","title":"Scale-aware multi-path deep neural networks for unconstrained face detection","year":2017,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Face detection; Object-class detection; Robustness (evolution); Face (sociological concept); Pixel; Pattern recognition (psychology); Facial recognition system; Benchmark (surveying)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006450797,0.0008955206,0.0007677171,0.0002235279,0.00140332,0.0001858694,0.0009747772,0.001791263,0.00003376979],"category_scores_gemma":[0.0006379631,0.0008987286,0.0009031637,0.0001668502,0.0001168007,0.00005556254,0.0001494672,0.0009946573,0.00001333257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001909078,"about_ca_system_score_gemma":0.00004141822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001769257,"about_ca_topic_score_gemma":0.009184727,"domain_scores_codex":[0.9962952,0.0002058803,0.0007683217,0.001564927,0.000380353,0.0007853688],"domain_scores_gemma":[0.9964895,0.00004890438,0.0009276711,0.001507658,0.0007440858,0.0002821344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003405974,0.000134777,0.00002896618,0.0001569275,0.0003091397,0.00001531095,0.000002505021,0.0001710125,0.5213259,0.00002573432,0.00001424944,0.4774749],"study_design_scores_gemma":[0.001341054,0.0004256999,0.0002716691,0.000120413,0.0005908217,0.00003466225,0.0001837716,0.007116014,0.9651941,0.0002536447,0.02304661,0.001421521],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9783936,0.001136024,0.002866349,0.00001411952,0.001381435,0.003353481,0.0009681293,0.0005177337,0.01136914],"genre_scores_gemma":[0.9804154,0.0002763552,0.001682069,0.0001311388,0.0002014112,0.0004924107,0.007102821,0.000263155,0.00943524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4760533,"threshold_uncertainty_score":0.9998967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139772444683989,"score_gpt":0.2667986966462912,"score_spread":0.2554009721994513,"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."}}