{"id":"W6925338600","doi":"10.17632/vb4xvxk86v","title":"Sponge Assemblages and Predicted Archetypes in the Eastern Canadian Arctic","year":2019,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; Sponge; Bay; Fauna; Taxon; Cape","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":[0.0004556174,0.0004552399,0.0003024655,0.005075523,0.002433068,0.001206555,0.0006956772,0.0003124984,0.001285417],"category_scores_gemma":[0.001509857,0.0003694827,0.0003898632,0.003864428,0.0009297219,0.0003347164,0.001033109,0.0002817755,0.000160917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009403511,"about_ca_system_score_gemma":0.008783724,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9690734,"about_ca_topic_score_gemma":0.9908714,"domain_scores_codex":[0.9994831,0.00002717103,0.00004148029,0.0001177782,0.0001557268,0.0001747342],"domain_scores_gemma":[0.9987143,0.00008641122,0.0002922176,0.00005411645,0.0005878866,0.0002651357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008525715,0.00000633713,0.9927152,0.00003877287,0.0000658624,0.00009607548,0.0009672882,0.0001672027,0.001485787,0.0001352558,0.0002701914,0.003966782],"study_design_scores_gemma":[0.000001863259,0.000005036568,0.9985623,0.00001110108,0.000009978019,0.00005137495,0.0006729577,0.0001738647,0.00005150388,0.00002533194,0.0004296997,0.000005096322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9957749,0.0006416688,0.0001093983,0.00005640584,0.000005288265,0.00001004421,0.001627833,0.00001046879,0.001763842],"genre_scores_gemma":[0.9981304,0.0004246671,0.0002263206,0.00001999579,0.000002322172,0.000008017964,0.0009010211,0.000004605278,0.0002825438],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.03092664,"threshold_uncertainty_score":0.06822759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07680203725846485,"score_gpt":0.3287526094908559,"score_spread":0.2519505722323911,"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."}}