{"id":"W6911640189","doi":"10.5281/zenodo.12567740","title":"Spatial conservation planning of forest genetic resources in a Mediterranean multi-refugial area","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Quercus robur; Pinus <genus>; Mediterranean climate; Genetic variability; Genetic structure; Longitude; Picea abies; Mediterranean area; Latitude","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000932139,0.0008619361,0.0009249684,0.002784053,0.0005197771,0.001012387,0.00183605,0.0007868115,0.04298161],"category_scores_gemma":[0.003797467,0.0005147772,0.0007939992,0.00584458,0.0002226328,0.0007892629,0.001196497,0.0008223327,0.01798761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320856,"about_ca_system_score_gemma":0.001418513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05576108,"about_ca_topic_score_gemma":0.09986338,"domain_scores_codex":[0.9994179,0.0001306284,0.00006801605,0.0002288412,0.00007815412,0.00007642848],"domain_scores_gemma":[0.9986233,0.0004404531,0.0002037092,0.0002616818,0.0003536293,0.0001172123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009131475,0.00003120243,0.01547315,0.001379014,0.0001231475,0.00008813301,0.0001758755,0.002449792,0.0003424498,0.001879299,0.9678781,0.0100885],"study_design_scores_gemma":[0.0004195029,0.00003175393,0.06930706,0.0009652882,0.0001098967,0.0001474939,0.0005803429,0.003728619,0.0005965415,0.004078978,0.9199619,0.0000725319],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008781304,0.00006864956,0.0001928241,0.00005631932,0.000009874393,0.00000874681,0.9979579,0.0001533884,0.0006741469],"genre_scores_gemma":[0.004116618,0.00007513125,0.001666079,0.00003029576,0.000004339822,0.0001047164,0.993396,0.00008395217,0.000522982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05576108,"threshold_uncertainty_score":0.1437879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06476765216530865,"score_gpt":0.2814386135760544,"score_spread":0.2166709614107458,"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."}}