{"id":"W7055375916","doi":"","title":"Computer Vision-based Solution to Monitor Earth Material Loading Activities","year":2013,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracking system; Object (grammar); Frame (networking); Tracking (education); Fusible alloy; Feature (linguistics)","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":[0.000003605193,0.0002073002,0.0002110936,0.0000340197,0.0001106635,0.00005552205,0.000137928,0.00004619851,0.00005998064],"category_scores_gemma":[3.386618e-7,0.0002158095,0.00002352184,0.00004901225,0.00001328537,0.0002045206,0.00002148471,0.0001047482,1.910343e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008973064,"about_ca_system_score_gemma":0.0003418533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001700306,"about_ca_topic_score_gemma":0.009674176,"domain_scores_codex":[0.9987305,0.00001674748,0.0002040984,0.0001747874,0.0006599789,0.0002139089],"domain_scores_gemma":[0.9995302,0.00008199369,0.00006011538,0.0001434494,5.077501e-7,0.0001837113],"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":[0.0004400955,0.00003625798,0.0001955881,0.001320666,0.0001617518,0.00002316181,0.0002004874,0.006879062,0.9234473,0.005924029,0.03277264,0.02859903],"study_design_scores_gemma":[0.000191378,0.00006345862,0.008648708,0.0003382058,0.00002655797,8.854511e-7,0.0005539088,0.04982454,0.9256546,0.000086361,0.0141588,0.0004525278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9230615,0.000108905,0.00199324,0.0006864762,0.002066625,0.0007378585,0.00112283,0.0001071957,0.07011539],"genre_scores_gemma":[0.9872874,0.00002981944,0.002559018,0.0002060855,0.0002047074,0.00005357952,0.0002131998,0.0000457455,0.009400434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06422593,"threshold_uncertainty_score":0.8800458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0025754219208683,"score_gpt":0.1475279992340933,"score_spread":0.144952577313225,"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."}}