{"id":"W6893608459","doi":"10.5281/zenodo.3371895","title":"FIGURE 5. Didemnidae. A–E in The Ascidiacea collected during the 2017 British Columbia Hakai MarineGEO BioBlitz","year":2019,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Zooid; Kelp; Kelp forest; Zoogeography","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":[0.00008997339,0.0004891992,0.0002441378,0.002607333,0.001669419,0.0004873122,0.0002778561,0.0002521507,0.01505702],"category_scores_gemma":[0.0001718589,0.0001793986,0.0001150182,0.002080703,0.000336961,0.0001707931,0.0004437598,0.0004475562,0.004423138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716687,"about_ca_system_score_gemma":0.0007909618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2252083,"about_ca_topic_score_gemma":0.481318,"domain_scores_codex":[0.9999082,0.000003216999,0.000003354766,0.00003260958,0.00003098477,0.00002160457],"domain_scores_gemma":[0.9998586,0.000007655627,0.00002331673,0.000007675453,0.00006543657,0.00003728989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001178035,0.00007239812,0.3285335,0.001133293,0.00009097384,0.001896921,0.003112467,0.0006506883,0.1725045,0.001455025,0.1023763,0.386996],"study_design_scores_gemma":[0.00001142504,0.00002734899,0.8236415,0.00011564,0.00002044664,0.0005568969,0.001005027,0.0001741752,0.004749889,0.0001244493,0.1695583,0.00001493086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7260765,0.01124581,0.003819872,0.000839936,0.00054253,0.0004058625,0.09022421,0.001059417,0.1657858],"genre_scores_gemma":[0.8522054,0.002856365,0.009034501,0.0002043911,0.00005948393,0.0001531781,0.03977382,0.0002380051,0.09547488],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.984943,"threshold_uncertainty_score":0.4477949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777730617484606,"score_gpt":0.2204032921114112,"score_spread":0.2026259859365651,"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."}}