{"id":"W4409744797","doi":"10.2139/ssrn.5229826","title":"Transfer Learning on Sam for Footwear Outsole Segmentation","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Segmentation; Transfer of learning; Artificial intelligence; Computer science; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005849498,0.000978841,0.001540208,0.001287965,0.0005758115,0.0008215475,0.001742202,0.00146191,0.01009391],"category_scores_gemma":[0.001314609,0.0004832388,0.001179889,0.001294285,0.0005215617,0.0009756339,0.001707854,0.001321607,0.004358999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004958771,"about_ca_system_score_gemma":0.0009773006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102335,"about_ca_topic_score_gemma":0.01513115,"domain_scores_codex":[0.9996598,0.00005252415,0.00001412092,0.0001187894,0.00006551284,0.00008936373],"domain_scores_gemma":[0.9994637,0.0001653203,0.00002944766,0.0001399221,0.0001535505,0.0000479654],"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":[0.0004101912,0.000181082,0.001582678,0.000100747,0.0001004925,0.0001001635,0.00006297737,0.08577384,0.01980427,0.001904286,0.008472973,0.8815062],"study_design_scores_gemma":[0.00001055791,0.00005764038,0.0008713417,0.000007503001,0.00001576178,0.00002913305,0.00003459625,0.9894848,0.004476574,0.003544023,0.001461135,0.000006865235],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0949844,0.0007926592,0.884647,0.0003937307,0.0002499854,0.000135594,0.001094368,0.01251703,0.005185293],"genre_scores_gemma":[0.7134864,0.0003876962,0.2607954,0.0004211792,0.0002518684,0.0002015276,0.00436485,0.0008882424,0.01920285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0102335,"threshold_uncertainty_score":0.03376746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728437883654594,"score_gpt":0.2795764304776452,"score_spread":0.2622920516410993,"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."}}