{"id":"W7029180252","doi":"","title":"Industry Talk: Brittany Gerow","year":2022,"lang":"en","type":"article","venue":"SOURCE Sheridan's Institutional Repository (Sheridan College)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multidisciplinary approach; Best practice; Work (physics); Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001900087,0.001385772,0.0006929612,0.001549104,0.005052183,0.005562587,0.001164461,0.002348812,0.2025662],"category_scores_gemma":[0.003205486,0.0007277934,0.0004603212,0.0009062578,0.001601577,0.003619568,0.003109084,0.004234176,0.071063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003767307,"about_ca_system_score_gemma":0.003417547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0160596,"about_ca_topic_score_gemma":0.0383495,"domain_scores_codex":[0.9983233,0.0001643577,0.0000350139,0.0003724786,0.0008467904,0.0002580881],"domain_scores_gemma":[0.9980008,0.0002612176,0.00004911467,0.00008847978,0.0008975763,0.0007027861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003797627,0.00001753209,0.0001333161,0.00006546522,0.000003256097,0.0000947487,0.0002980782,0.00007539782,0.0004365002,0.003525364,0.9769057,0.01840661],"study_design_scores_gemma":[0.000003928187,0.00001151717,0.000237945,0.00005017603,0.000003649501,0.0001571857,0.0005352452,0.00005694257,0.0002229422,0.0004964154,0.9982085,0.00001556809],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005976778,0.03427075,0.009032208,0.2468773,0.08336998,0.0002174126,0.001432799,0.003270124,0.6155526],"genre_scores_gemma":[0.01728926,0.005219768,0.001752395,0.02115627,0.001682024,0.00008829498,0.0004246419,0.001047289,0.9513401],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2025662,"threshold_uncertainty_score":0.6776514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006823344870321879,"score_gpt":0.1999326335331927,"score_spread":0.1931092886628708,"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."}}