{"id":"W4394263618","doi":"10.6084/m9.figshare.23260985","title":"Fuzzy codes for functional trait categories for invertebrate species found in intertidal mussel and seaweed stands in Nova Scotia, Canada.","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nova scotia; Intertidal zone; Invertebrate; Mussel; Trait; Ecology; Geography; Fishery; Biology; Archaeology; Computer science","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":[0.0005149519,0.001170194,0.0008682494,0.0042754,0.001543739,0.001565431,0.001931935,0.000860911,0.109683],"category_scores_gemma":[0.005098207,0.0006663371,0.0008643167,0.00921383,0.0003912732,0.0006609295,0.001305719,0.001005242,0.03694417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007835112,"about_ca_system_score_gemma":0.01504334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8955127,"about_ca_topic_score_gemma":0.9516747,"domain_scores_codex":[0.9994511,0.0000215998,0.00005376194,0.0001262166,0.0001927574,0.000154518],"domain_scores_gemma":[0.9956406,0.0007575239,0.000251538,0.0003473046,0.002598138,0.0004048701],"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":[0.00005296089,0.00000890387,0.004461971,0.0006007167,0.00002731286,0.00002664385,0.00006834296,0.0002935014,0.0001141976,0.0004765999,0.9910406,0.002828311],"study_design_scores_gemma":[0.0002337931,0.00001016248,0.06990519,0.0009370106,0.00006016914,0.00007073719,0.0003921688,0.0006591021,0.0005199127,0.00111053,0.9260373,0.00006374905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001062467,0.00001108938,0.00001842045,0.00001100363,0.000003509689,0.000003416024,0.9994005,0.0000411245,0.0004047118],"genre_scores_gemma":[0.000928272,0.00003696277,0.0002483724,0.00001960298,0.000001747376,0.00003313451,0.9975175,0.00003914673,0.001175229],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.109683,"threshold_uncertainty_score":0.3669261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05242575333610101,"score_gpt":0.2277729820299524,"score_spread":0.1753472286938514,"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."}}