{"id":"W6960797061","doi":"10.1371/journal.pone.0239086.g001","title":"Overview of study location and samples.","year":2020,"lang":"en","type":"other","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Geographic information system; Geocoding; Spatial analysis; Aerial survey","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":[0.003905758,0.001182476,0.001116554,0.006647659,0.003487122,0.00188213,0.003309147,0.001264683,0.2289247],"category_scores_gemma":[0.009785566,0.00111216,0.000598959,0.007628239,0.0007486038,0.001221131,0.001966958,0.001385772,0.07947527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003466109,"about_ca_system_score_gemma":0.02274603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4646675,"about_ca_topic_score_gemma":0.673738,"domain_scores_codex":[0.9984918,0.0003302861,0.000199361,0.0003123322,0.0003702925,0.0002959624],"domain_scores_gemma":[0.9955835,0.0007313188,0.0002768177,0.0005124416,0.002233888,0.0006621698],"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":[0.0002075195,0.0001465137,0.01135425,0.00183838,0.0000362988,0.0004125025,0.001843542,0.0003308626,0.0005733181,0.003192671,0.9189377,0.06112651],"study_design_scores_gemma":[0.0001642438,0.00006637816,0.03977064,0.00172338,0.00004504399,0.0004195429,0.002411003,0.0002908426,0.0003047804,0.001847124,0.9528987,0.00005839536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007156107,0.001600206,0.008350604,0.0008645229,0.0003535801,0.01799545,0.925957,0.0007636591,0.03695901],"genre_scores_gemma":[0.02285853,0.004425899,0.04830619,0.002412461,0.0002208895,0.1101018,0.7424445,0.001000537,0.06822934],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7710753,"threshold_uncertainty_score":0.9239256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07929345276506221,"score_gpt":0.2799630865551807,"score_spread":0.2006696337901185,"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."}}