{"id":"W6907122359","doi":"10.18739/a2td9n921","title":"Benthic macroinfaunal samples collected from the Canadian Coast Guard Ship (CCGS) Sir Wilfrid Laurier, Northern Bering Sea to Chukchi Sea, 2018","year":2022,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Benthic zone; Arctic ice pack; Arctic; Biomass (ecology); Coast guard; Population; Latitude; Plankton","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001505902,0.002118705,0.001866821,0.00124724,0.003856055,0.001261934,0.005463871,0.0009957446,0.07276554],"category_scores_gemma":[0.001210643,0.002026126,0.0006182974,0.00317148,0.0005384909,0.0003021024,0.001973717,0.004078598,0.009773321],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005219769,"about_ca_system_score_gemma":0.007222287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9390972,"about_ca_topic_score_gemma":0.9985991,"domain_scores_codex":[0.9881576,0.00146463,0.001571558,0.002685828,0.002963364,0.00315696],"domain_scores_gemma":[0.9906905,0.001332932,0.0008161589,0.004571636,0.0003805507,0.002208189],"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":[0.0005360909,0.0001253646,0.01852025,0.00007752159,0.001043307,0.000636861,0.0009009871,0.0003804215,0.00009439726,0.000004184591,0.9775358,0.0001448321],"study_design_scores_gemma":[0.001264094,0.0002056449,0.0375315,0.00028563,0.0008465695,0.0001167486,0.0005889105,0.00008974772,0.00003873447,0.00004375774,0.9567718,0.002216845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05060609,0.00169589,0.000001753784,0.0008305289,0.002123563,0.002694322,0.9412491,0.0003877791,0.0004110236],"genre_scores_gemma":[0.006633113,0.0001765132,0.000121638,0.003845935,0.001862747,0.00068017,0.9855461,0.0007905387,0.0003432749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06299222,"threshold_uncertainty_score":0.999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588515081876564,"score_gpt":0.2515493216477514,"score_spread":0.2256641708289858,"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."}}