{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004585422,0.0001374485,0.0001563531,0.0002362564,0.0001427136,0.00008228526,0.00100868,0.00008681625,0.000006565806],"category_scores_gemma":[8.690053e-7,0.0001307105,0.0001177149,0.0008725702,0.0001045664,0.0001925467,0.0002552826,0.0001303728,0.00004063955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003296939,"about_ca_system_score_gemma":0.0000392716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000131713,"about_ca_topic_score_gemma":8.958508e-7,"domain_scores_codex":[0.9987458,0.00002728248,0.0004103223,0.0004026032,0.0001524181,0.000261584],"domain_scores_gemma":[0.9989492,0.00005936894,0.0001906818,0.0005569701,0.0001689339,0.00007480961],"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":[0.00000165677,0.0001173208,0.0001999281,0.00001335193,0.000009637798,0.000004422112,0.0001559713,7.408592e-7,0.5560368,0.04263685,0.0001484349,0.4006749],"study_design_scores_gemma":[0.0002611972,0.0000535074,0.007219508,0.0000216526,0.0000138492,0.0001818692,0.00002536431,0.0009929326,0.8196932,0.008973873,0.1622026,0.0003603968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004071345,0.0001600417,0.9938846,0.0002484379,0.00002634314,0.0004138955,0.000006509828,0.000477926,0.0007108995],"genre_scores_gemma":[0.2191623,0.00001388885,0.780447,0.0001703317,0.00006681409,0.00005501961,0.00001061899,0.000008173429,0.00006581855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4003145,"threshold_uncertainty_score":0.533022,"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."}}