{"id":"W2777683102","doi":"10.1111/1556-4029.13719","title":"Accuracy and Repeatability of Trajectory Rod Measurement Using Laser Scanners","year":2017,"lang":"en","type":"article","venue":"Journal of Forensic Sciences","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Trajectory; Laser scanning; Laser; Repeatability; Documentation; Azimuth; Computer science; Range (aeronautics); Optics; Engineering; Mathematics; Statistics; Physics; Aerospace engineering","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":[0.004450097,0.0003719279,0.000334554,0.001347453,0.0004866904,0.0009349533,0.0005938802,0.0005228222,0.000838255],"category_scores_gemma":[0.01876091,0.0003253893,0.000407865,0.0009419525,0.0006600633,0.0007661234,0.0008955401,0.0003507188,0.0005210109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003456053,"about_ca_system_score_gemma":0.0005092832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002974177,"about_ca_topic_score_gemma":0.004168619,"domain_scores_codex":[0.9928876,0.001663494,0.000793275,0.001456848,0.002990574,0.0002083887],"domain_scores_gemma":[0.9834842,0.007028074,0.002455315,0.002403204,0.004479227,0.0001499953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001146688,0.0000915265,0.3795932,0.0004316137,0.0002774314,0.000216467,0.002889707,0.01165964,0.3027413,0.000687203,0.0006426972,0.2996225],"study_design_scores_gemma":[0.00003691487,0.001483371,0.7301685,0.0001829774,0.0002621589,0.001967504,0.001913748,0.0380931,0.2174491,0.001013852,0.007204257,0.000224578],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.905459,0.0008240633,0.09043159,0.00005138888,0.00006490541,0.00004793782,0.0003392587,0.0005545053,0.002227333],"genre_scores_gemma":[0.9714931,0.0001628036,0.02759411,0.00001585609,0.000008088255,0.00002691982,0.0001905838,0.00006540358,0.0004430493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004450097,"threshold_uncertainty_score":0.02353466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1206319466563214,"score_gpt":0.2809643530640714,"score_spread":0.16033240640775,"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."}}