{"id":"W6929009473","doi":"10.4224/18227302","title":"Developing optical tracking software to determine heading using MATLAB","year":2009,"lang":"en","type":"report","venue":"NPARC","topic":"Immune Response and Inflammation","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heading (navigation); Software; Tracking (education); MATLAB; Tracking system","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":[0.0008372435,0.0009166092,0.0004438152,0.001194717,0.0003670312,0.000955056,0.001101484,0.00039844,0.02236433],"category_scores_gemma":[0.003996201,0.0005521051,0.0004761093,0.0005118935,0.0002956035,0.0009830508,0.0008520165,0.0009861529,0.01527604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004645649,"about_ca_system_score_gemma":0.0008600139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826706,"about_ca_topic_score_gemma":0.002127454,"domain_scores_codex":[0.9991807,0.00007562572,0.00007565435,0.0001509891,0.0004659514,0.000051006],"domain_scores_gemma":[0.9978178,0.0008129571,0.0001744973,0.0002224332,0.0009037432,0.00006863494],"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":[0.0002489864,0.0001431828,0.00332888,0.0005493849,0.00008791181,0.0004067665,0.0005354672,0.02736562,0.09651091,0.01041286,0.05274974,0.8076603],"study_design_scores_gemma":[0.0001791924,0.0003118301,0.004408212,0.0003576802,0.00008327566,0.001327481,0.0001999847,0.3236385,0.3463963,0.007754717,0.3151487,0.00019415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003370992,0.0001005119,0.9388951,0.00007999469,0.0001069428,0.0001410311,0.0004189898,0.04881598,0.008070473],"genre_scores_gemma":[0.04813943,0.0003617602,0.9229072,0.0001322276,0.00005450081,0.0006051403,0.001433058,0.007387599,0.01897904],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02236433,"threshold_uncertainty_score":0.07481611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07319703873885909,"score_gpt":0.3256146292507471,"score_spread":0.252417590511888,"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."}}