{"id":"W2773902660","doi":"10.5061/dryad.kr006cf0.2/7.2","title":"Final NAP Management Plan-July 2008","year":2012,"lang":"en","type":"dataset","venue":"DRYAD","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nap; Plan (archaeology); Computer science; Operations management; Engineering; Geography; Biology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001877138,0.000204507,0.0001726599,0.00005343256,0.000105096,0.00004880451,0.0006719635,0.000155414,0.1961438],"category_scores_gemma":[0.000009228855,0.0001828953,0.000063118,0.0001535363,0.0001381097,0.0001003758,0.00115347,0.0003766109,0.04295058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089139,"about_ca_system_score_gemma":0.000006380732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104292,"about_ca_topic_score_gemma":0.0002419052,"domain_scores_codex":[0.9983444,0.00003781093,0.0001678948,0.0003312841,0.0006007521,0.0005178441],"domain_scores_gemma":[0.9991359,0.00001915948,0.00005574638,0.0006241209,0.000002865927,0.0001622759],"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":[0.00001615127,0.00007514295,0.0006371769,0.0000463655,0.00002186862,0.00009124772,0.00000670087,5.688241e-7,5.533759e-7,0.000002978597,0.9851397,0.01396155],"study_design_scores_gemma":[0.0001349597,0.00003428713,0.001429134,0.00000527748,0.00002091186,0.000006978908,0.000005740043,0.00000210508,0.000001475766,0.00002221833,0.9981208,0.0002160884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009346879,0.00002200093,0.000003546272,0.00005972284,0.0002039012,0.0001941166,0.6519543,0.000014457,0.3475387],"genre_scores_gemma":[0.000005480891,0.0005336545,0.0001681861,0.000309617,0.0002185059,0.00005856268,0.9357463,0.00001391429,0.06294582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2845928,"threshold_uncertainty_score":0.9577946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246494038199951,"score_gpt":0.2639149142759601,"score_spread":0.2314499738939606,"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."}}