{"id":"W2350309818","doi":"","title":"Auto Stitching Of Sequential Pathologic Biopsy Micrograph","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RANSAC; Image stitching; Artificial intelligence; Computer science; Computer vision; Feature (linguistics); Pattern recognition (psychology); Pyramid (geometry); Rotation (mathematics); Micrograph; Sample (material); Image (mathematics); Mathematics; Optics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004191529,0.0003951399,0.0002667015,0.001576828,0.0002783431,0.0003900228,0.0003536894,0.000521224,0.002184343],"category_scores_gemma":[0.001723743,0.000419935,0.0002726179,0.0006178854,0.0002612389,0.0006848025,0.0003835083,0.0004953905,0.0005428624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002493901,"about_ca_system_score_gemma":0.0004975473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001710757,"about_ca_topic_score_gemma":0.003740595,"domain_scores_codex":[0.999658,0.00003504614,0.00002311415,0.00005559764,0.0002008039,0.00002745095],"domain_scores_gemma":[0.9989806,0.0002393734,0.000118748,0.0002987768,0.0003150672,0.00004740495],"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":[0.0003788973,0.00004120399,0.005351638,0.0002560925,0.00005998474,0.0008965141,0.0003182668,0.01039735,0.4923081,0.001034175,0.001732889,0.487225],"study_design_scores_gemma":[0.00004659722,0.000751014,0.04929817,0.0001120261,0.0002029697,0.016472,0.0004317382,0.3575729,0.5504552,0.002514693,0.02199001,0.0001526555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2156617,0.001407375,0.7770188,0.0002066307,0.0001860861,0.0001253362,0.0001752868,0.002272567,0.002946335],"genre_scores_gemma":[0.4675133,0.0009752233,0.5272803,0.0001116448,0.0001032411,0.0000552724,0.0001972828,0.0003321655,0.003431632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002184343,"threshold_uncertainty_score":0.007307291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489678999736244,"score_gpt":0.2752674038910544,"score_spread":0.260370613893692,"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."}}