{"id":"W6910938426","doi":"10.5065/d6fq9tqz","title":"HLY-02-03 Zooplankton Abundance. Version 1.0","year":2007,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coast guard; Zooplankton; Beaufort sea; Beaufort scale; Arctic; Sampling (signal processing)","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":[0.001113422,0.001881798,0.0009856175,0.003298622,0.0005984326,0.00119386,0.002461481,0.0008980724,0.02269198],"category_scores_gemma":[0.002041785,0.0008494042,0.0007983419,0.00427742,0.0002646834,0.0007406411,0.0012863,0.001023434,0.02086017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001733773,"about_ca_system_score_gemma":0.002305633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1479201,"about_ca_topic_score_gemma":0.2295046,"domain_scores_codex":[0.9992761,0.00007766554,0.0001026337,0.0001728927,0.000211856,0.0001589244],"domain_scores_gemma":[0.9974872,0.0001592758,0.0005265486,0.0004160681,0.001161018,0.0002499178],"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":[0.0001584803,0.00009510136,0.02230621,0.0004537952,0.0001125868,0.0000534397,0.0000733186,0.001007708,0.0003783292,0.0002487639,0.9706073,0.004504991],"study_design_scores_gemma":[0.0007832428,0.00009539047,0.2657056,0.000250113,0.0001147506,0.0001177738,0.0002608874,0.003227042,0.002019489,0.0005155482,0.7268189,0.00009133371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001590206,0.00001310515,0.0001310692,0.00001669185,0.00001051018,0.0000447175,0.997294,0.0002595449,0.0006401645],"genre_scores_gemma":[0.001397031,0.000009734023,0.000513282,0.00002308159,0.000004435551,0.0002060607,0.9967879,0.00005759499,0.001000895],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1479201,"threshold_uncertainty_score":0.2941183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674039283663238,"score_gpt":0.2604558047837776,"score_spread":0.2437154119471452,"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."}}