{"id":"W6888068100","doi":"10.17895/ices.pub.21805353","title":"Assessment of West of Scotland whiting (ICES Division VIa) using multiple survey data","year":2012,"lang":"en","type":"report","venue":"International Council for the Exploration of the Sea (ICES)","topic":"Nanomaterials and Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Whiting; Survey data collection; Survey methodology; Strengths and weaknesses; Quarter (Canadian coin); Survey research; Data collection; Range (aeronautics)","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":[0.006920548,0.0009049334,0.0005066934,0.003837526,0.0005125319,0.001969029,0.0008810741,0.0004005005,0.002356226],"category_scores_gemma":[0.0170532,0.0002680866,0.0007299237,0.004536794,0.0004384092,0.001973303,0.002046664,0.0004037715,0.000472408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474755,"about_ca_system_score_gemma":0.001538729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1094146,"about_ca_topic_score_gemma":0.2308707,"domain_scores_codex":[0.9919609,0.0013646,0.0005846602,0.0005813495,0.004753116,0.0007553334],"domain_scores_gemma":[0.9842821,0.002586266,0.00516232,0.0007711058,0.00666304,0.0005352614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001478965,0.00004929224,0.8915371,0.0002573003,0.0002333817,0.0005805744,0.001789171,0.00517314,0.001050953,0.001791429,0.003625111,0.09376462],"study_design_scores_gemma":[0.000007068337,0.0006087312,0.9656194,0.0002476272,0.00009644098,0.0003596017,0.004693693,0.008836067,0.001147481,0.0005944065,0.01773521,0.00005431717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395126,0.000975679,0.01665215,0.0009307704,0.0001126458,0.0002643763,0.011167,0.0001154549,0.03026938],"genre_scores_gemma":[0.975872,0.0007987948,0.01151331,0.0001068918,0.00004409019,0.00013613,0.006116884,0.00003411379,0.005377683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1094146,"threshold_uncertainty_score":0.2175555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5416553252573754,"score_gpt":0.3711184002013162,"score_spread":0.1705369250560592,"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."}}