{"id":"W7110939095","doi":"10.6084/m9.figshare.30818975.v1","title":"Mitochondrial cox1 sequencing datasets, cox1 haplotype sequences and microsatellite genotyping datasets for Saccharina latissima (3 files in total); mitochondrial cox1 sequencing datasets, cox1 haplotype sequences and microsatellite genotyping datasets for Laminaria digitata (3 files in total); cox1 sequencing datasets, cox1 haplotype sequences and mitochondrial SNP genotyping datasets for Alaria esculenta (3 files in total).","year":2025,"lang":"","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laminaria digitata; Kelp; Kelp forest; Range (aeronautics); Genetic diversity; Environmental niche modelling; Microsatellite; Biodiversity; Genetic structure; Intraspecific competition","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":[0.001290157,0.0008032274,0.0008520027,0.002624812,0.0008698244,0.00109321,0.001494326,0.001043484,0.06783521],"category_scores_gemma":[0.003772925,0.0004711207,0.0006483294,0.004905194,0.0002807051,0.0009015485,0.0008948671,0.00125751,0.03780562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577726,"about_ca_system_score_gemma":0.001111118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01015432,"about_ca_topic_score_gemma":0.02685659,"domain_scores_codex":[0.9995372,0.00005484899,0.00004859003,0.000201523,0.000104718,0.00005305313],"domain_scores_gemma":[0.9977961,0.000829348,0.0004074749,0.0003666234,0.0004132469,0.0001872367],"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":[0.0006526631,0.0001112941,0.0273971,0.003182231,0.000254105,0.0003339295,0.0009016849,0.002266589,0.01509582,0.001904009,0.9212558,0.0266447],"study_design_scores_gemma":[0.0004793951,0.00009345037,0.09131061,0.0007653764,0.0002360535,0.0002839615,0.0008007112,0.002709142,0.004445083,0.003962258,0.8947902,0.0001236959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002787602,0.00004764685,0.0007833968,0.00006781962,0.00001577241,0.00002276676,0.9943792,0.0007469,0.001148785],"genre_scores_gemma":[0.004851098,0.00005116268,0.003373433,0.0000992191,0.000009107604,0.0001691346,0.9903544,0.0003010231,0.00079137],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06783521,"threshold_uncertainty_score":0.2269314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483629800219153,"score_gpt":0.303045393535131,"score_spread":0.2546824135132157,"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."}}