{"id":"W6966497170","doi":"10.3897/bdj.10.e76050.suppl16","title":"Supplementary material 16 from: Simon ADF, Adamczyk EM, Basman A, Chu JWF, Gartner HN, Fletcher K, Gibbs CJ, Gibbs DM, Gilmore SR, Harbo RM, Harris LH, Humphrey E, Lamb A, Lambert P, McDaniel N, Scott J, Starzomski BM (2022) Toward an atlas of Salish Sea biodiversity: the flora and fauna of Galiano Island, British Columbia, Canada. Part I. Marine zoology. Biodiversity Data Journal 10: e76050. https://doi.org/10.3897/BDJ.10.e76050","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Asian Geopolitics and Ethnography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Gibbs phenomenon; Calculus (dental); Set (abstract data type); Gibbs sampling","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001055499,0.001105957,0.000841521,0.003257651,0.001036659,0.003490732,0.001492781,0.001072481,0.9052057],"category_scores_gemma":[0.01344737,0.000507283,0.0006506854,0.005402438,0.0003615902,0.00225754,0.001988205,0.0009603369,0.6503906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089376,"about_ca_system_score_gemma":0.002926842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02727101,"about_ca_topic_score_gemma":0.04292013,"domain_scores_codex":[0.9993118,0.00008296483,0.0001016006,0.000110965,0.0003086762,0.00008403884],"domain_scores_gemma":[0.9951687,0.001470182,0.0002410841,0.0004279017,0.002247842,0.0004443671],"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":[0.0000190048,0.00001200705,0.0001713414,0.0002689384,0.00000461644,0.00002275271,0.0000240566,0.00004277729,0.00002508088,0.0006028599,0.9867132,0.01209328],"study_design_scores_gemma":[0.00003906713,0.000007761033,0.00149929,0.000399696,0.000007035179,0.00007963344,0.00005165756,0.00007009741,0.00008984785,0.001684295,0.9960582,0.00001341613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002792757,0.0004996594,0.001309377,0.0009784534,0.001293139,0.00009458156,0.908762,0.001852886,0.08493063],"genre_scores_gemma":[0.005002726,0.001480494,0.004381469,0.000877567,0.0005401702,0.0004697769,0.7519772,0.003721843,0.2315488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.972729,"threshold_uncertainty_score":0.1352126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03204224980106476,"score_gpt":0.2392280277558619,"score_spread":0.2071857779547971,"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."}}