{"id":"W2130404621","doi":"10.1007/978-3-540-39432-7_94","title":"Low-Level Visual Homing","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Snapshot (computer storage); Computer science; sort; Computer vision; Artificial intelligence; Information retrieval","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":[0.0001138194,0.0005339014,0.0003732597,0.000369577,0.0003631103,0.00112762,0.000843054,0.0006256233,0.02504105],"category_scores_gemma":[0.0004438383,0.0002086046,0.0002738984,0.0002720566,0.0005382526,0.001370842,0.00153904,0.0007211744,0.004961901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002164256,"about_ca_system_score_gemma":0.0001329405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003922506,"about_ca_topic_score_gemma":0.0005932961,"domain_scores_codex":[0.9999018,0.000008527717,0.000003171311,0.00002486074,0.00003793939,0.00002370612],"domain_scores_gemma":[0.9998658,0.00003270702,0.000007746774,0.00005001529,0.00002621567,0.00001750085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002212565,0.0000628987,0.0005033112,0.000316437,0.00002863598,0.0002955074,0.0002305239,0.01057066,0.1951845,0.08787727,0.01648477,0.6882243],"study_design_scores_gemma":[0.00004882506,0.000548523,0.004910155,0.000284942,0.00007006698,0.002575749,0.0005156269,0.3737691,0.1900273,0.2814049,0.1457383,0.0001065172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03523644,0.000700332,0.8639305,0.0001751907,0.0001816155,0.00005410918,0.0001584482,0.005680288,0.09388299],"genre_scores_gemma":[0.60741,0.0009887308,0.2646729,0.0002917378,0.0001050212,0.00009085871,0.000684867,0.00108533,0.1246705],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02504105,"threshold_uncertainty_score":0.08377063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223544003339328,"score_gpt":0.284694615044307,"score_spread":0.2624591750109138,"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."}}