{"id":"W2170930052","doi":"10.1007/s10846-012-9730-5","title":"An Orientation Invariant Visual Homing Algorithm","year":2012,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; University of Alberta","funders":"","keywords":"Snapshot (computer storage); Computer vision; Artificial intelligence; Scale-invariant feature transform; Computer science; Homing (biology); Robot; Algorithm; Image (mathematics)","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":[],"consensus_categories":[],"category_scores_codex":[0.00142957,0.0001605113,0.0003318815,0.0002590438,0.00008884923,0.0002385652,0.0006268229,0.00007163165,0.000007545273],"category_scores_gemma":[0.0001160022,0.0001253214,0.000114035,0.000374475,0.00002508899,0.00278896,0.00005329357,0.0002172042,0.00002602964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762934,"about_ca_system_score_gemma":0.00007408041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002051831,"about_ca_topic_score_gemma":2.290004e-7,"domain_scores_codex":[0.9979563,0.00019185,0.000818692,0.0001566906,0.0005393017,0.0003371298],"domain_scores_gemma":[0.9981947,0.0001270966,0.0006944249,0.0002868892,0.0004187969,0.0002781038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006878761,0.001659642,0.00639071,0.0001701097,0.0002895185,0.0002856077,0.009375604,0.01349677,0.01966584,0.03586744,0.001561984,0.911168],"study_design_scores_gemma":[0.001047348,0.004660998,0.003583814,0.001382131,0.0001758772,0.00709612,0.006390629,0.633106,0.3276128,0.002160414,0.01136736,0.001416521],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001472286,0.001880493,0.9935533,0.00004009657,0.002731105,0.0001664697,3.217873e-7,0.00006217972,0.00009372701],"genre_scores_gemma":[0.7177435,0.0001309587,0.2808762,0.00008078227,0.001080931,0.000003676969,0.000001056162,0.00001604895,0.00006683873],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9097515,"threshold_uncertainty_score":0.5110459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02725169971708026,"score_gpt":0.3309028337752639,"score_spread":0.3036511340581836,"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."}}