{"id":"W4400831779","doi":"10.1016/b978-0-323-91723-0.00010-6","title":"Data Acquisition and Recording","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Computer science","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":[0.0007305573,0.001559095,0.001396178,0.002045479,0.001008019,0.001910126,0.001889027,0.000979332,0.267158],"category_scores_gemma":[0.001917429,0.0009285263,0.0004548136,0.002185032,0.0006803332,0.00146561,0.001889462,0.001379172,0.1658157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000395424,"about_ca_system_score_gemma":0.001009267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419776,"about_ca_topic_score_gemma":0.003044532,"domain_scores_codex":[0.9993126,0.00004133793,0.00005400298,0.0002334891,0.0003276088,0.00003094303],"domain_scores_gemma":[0.9990312,0.0002173109,0.0000227017,0.000349931,0.0003342611,0.00004457911],"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":[0.0001766177,0.00006964051,0.0003176098,0.0008409268,0.00002602658,0.0001950109,0.0001646666,0.0005255161,0.091968,0.006687665,0.1475324,0.7514958],"study_design_scores_gemma":[0.00003814443,0.0001695516,0.002404365,0.0003280693,0.00006425622,0.0009567786,0.0001205022,0.003812657,0.059509,0.005905807,0.9266302,0.00006069268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005264841,0.002666948,0.6645901,0.0005078553,0.001208621,0.001973383,0.0209824,0.03179796,0.2710078],"genre_scores_gemma":[0.01850541,0.003935191,0.3464725,0.001029096,0.000335538,0.002809817,0.02110427,0.006998183,0.59881],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.267158,"threshold_uncertainty_score":0.8937327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03573631323036709,"score_gpt":0.268952162842352,"score_spread":0.2332158496119849,"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."}}