{"id":"W4393429433","doi":"10.5281/zenodo.2025778","title":"Krill production circuit's - DATASET","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Krill; Production (economics); Fishery; Oceanography; Biology; Geology; Economics; Microeconomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008575874,0.0002849938,0.0002747958,0.0004443421,0.001472661,0.0008180132,0.0008721768,0.0003311812,0.01093933],"category_scores_gemma":[0.0005499605,0.0003053961,0.00006676895,0.0005965413,0.0001054696,0.0002718409,0.0005066043,0.0006218102,0.02535639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002701289,"about_ca_system_score_gemma":0.000003594667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004671208,"about_ca_topic_score_gemma":0.000001242801,"domain_scores_codex":[0.9978929,0.0002575328,0.0004091623,0.0005562583,0.0004807331,0.000403422],"domain_scores_gemma":[0.9982461,0.00001317278,0.0001283359,0.001074237,0.000372589,0.0001655384],"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":[0.00001722377,0.00002890477,1.229298e-8,0.0001740479,0.00005627968,0.000007928483,0.0000365713,0.00006922586,0.0003448247,0.000008145146,0.9883623,0.01089453],"study_design_scores_gemma":[0.0002164745,0.0001667076,0.000003550096,0.00008564012,0.00003517319,0.0001992966,0.00002941766,0.00005416194,0.0002571204,0.0000161211,0.9986202,0.0003161315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009468287,0.0000639268,0.0002733447,0.00002766707,0.002047229,0.0005956032,0.9912748,0.001143556,0.00447916],"genre_scores_gemma":[0.0008982198,0.0001426349,0.000009052443,0.00002896139,0.002203434,9.703855e-8,0.9952571,0.00129773,0.0001627298],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01441707,"threshold_uncertainty_score":0.9999398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941003097231952,"score_gpt":0.2471640279330441,"score_spread":0.1977539969607246,"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."}}