{"id":"W6946327005","doi":"10.3389/fmars.2021.737416.s001","title":"Data_Sheet_1_Establishing the Foundation for the Global Observing System for Marine Life.PDF","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Digital Imaging for Blood Diseases","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Sustainability; Interoperability; Identification (biology); Ecosystem; Ecosystem-based management; Marine ecosystem; Marine spatial planning; Audit; Foundation (evidence)","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001984118,0.0003408284,0.0002896316,0.00003623551,0.0005514366,0.006681628,0.005097054,0.0001101385,0.002819472],"category_scores_gemma":[0.006232259,0.0002278279,0.0002639401,0.0004553721,0.00001333942,0.001819804,0.003247186,0.0001713508,0.0006136763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964663,"about_ca_system_score_gemma":0.0006533987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001211364,"about_ca_topic_score_gemma":0.0002149551,"domain_scores_codex":[0.9979609,0.00005182702,0.0003660622,0.0007039832,0.0004602392,0.0004570123],"domain_scores_gemma":[0.9953377,0.001480887,0.0003778768,0.002244322,0.0004240648,0.0001351066],"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":[0.000004777222,0.0000268604,0.000001934581,0.001548673,0.00007686976,0.000007285369,0.000003691717,0.00003881744,3.604949e-8,0.0001942367,0.9924905,0.005606322],"study_design_scores_gemma":[0.0002266491,0.00001982977,0.00007752726,0.001643869,0.0001067431,0.00002186158,0.00004581602,0.006840447,0.00000322483,0.0001376289,0.9906023,0.0002740853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.389402e-7,0.0006312893,0.001358397,0.0006335114,0.0009655378,0.001333722,0.9946491,0.000152125,0.0002762129],"genre_scores_gemma":[0.00001259354,0.000004210658,0.001150989,0.0009676385,0.0007210895,0.001780848,0.9952464,0.00002114022,0.0000950942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006801629,"threshold_uncertainty_score":0.9980921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05448601873021967,"score_gpt":0.2831791747553629,"score_spread":0.2286931560251432,"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."}}