{"id":"W6944787343","doi":"10.18739/a2dh02","title":"Deep Arctic Ocean Canada Basin Mooring Data","year":2016,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mooring; Structural basin; Arctic; The arctic; Buoy","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":[0.0007443946,0.002352641,0.001172356,0.004595674,0.00112645,0.001704964,0.002271361,0.001300425,0.03358424],"category_scores_gemma":[0.003489493,0.0006977983,0.001040541,0.009065886,0.0004956321,0.0006500553,0.00155861,0.001094871,0.03746853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002591546,"about_ca_system_score_gemma":0.006979099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5197991,"about_ca_topic_score_gemma":0.6638676,"domain_scores_codex":[0.9993322,0.00005462774,0.00004382507,0.0001383726,0.0002693255,0.0001615144],"domain_scores_gemma":[0.9980415,0.0002477001,0.0001465967,0.0004235679,0.0008858222,0.0002548707],"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":[0.00005849497,0.00001828294,0.002057575,0.0002070698,0.00004881959,0.00003174211,0.00003019341,0.001262395,0.0001426324,0.0003216463,0.9921668,0.003654547],"study_design_scores_gemma":[0.0001295383,0.000007170666,0.01012464,0.0001542562,0.00004055511,0.00003016621,0.00008208828,0.001032409,0.0005028159,0.0007856773,0.9870719,0.0000386877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002279103,0.00003192625,0.00005041925,0.00002029103,0.00001222654,0.00000512351,0.9989214,0.000269619,0.0004611555],"genre_scores_gemma":[0.0005769521,0.00004906515,0.0002135678,0.00001280229,0.000004125705,0.00002543186,0.9981287,0.00007534464,0.0009139953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4802009,"threshold_uncertainty_score":0.9660579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019995156415766,"score_gpt":0.2565853136538784,"score_spread":0.2463853620897208,"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."}}