{"id":"W4398915535","doi":"10.7910/dvn/y1j0uq/ynyiwv","title":"Lichen database.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Lichen; Replication (statistics); Database; Infrared; Remote sensing; Environmental science; Geography; Forestry; Computer science; Botany; Biology; Physics; Astronomy","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":[0.0007618328,0.002922173,0.001992621,0.00578327,0.0007066267,0.00319969,0.003385009,0.0024768,0.1709099],"category_scores_gemma":[0.004160946,0.0009150953,0.001108256,0.009716626,0.0005098704,0.002002728,0.002684616,0.001970973,0.1711202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327697,"about_ca_system_score_gemma":0.001898025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01384301,"about_ca_topic_score_gemma":0.02084297,"domain_scores_codex":[0.9992649,0.0001041412,0.00009015318,0.0002255751,0.0001820965,0.0001330545],"domain_scores_gemma":[0.9988631,0.0003249497,0.0001261408,0.0002943113,0.0001972913,0.0001942322],"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":[0.00006763083,0.00002382796,0.0004698463,0.001173172,0.0000452526,0.00002499932,0.00002529926,0.000261163,0.0002066912,0.0008196551,0.9942134,0.0026692],"study_design_scores_gemma":[0.0002565756,0.00001717189,0.00163281,0.0002922759,0.00003319484,0.00004630415,0.00004080186,0.0003615519,0.0003279412,0.001283429,0.9956856,0.00002238493],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009457111,0.0001096441,0.00005347209,0.00004029128,0.00001098481,0.000005607988,0.9980105,0.0007664415,0.0009086181],"genre_scores_gemma":[0.0004625428,0.0001304613,0.0001930715,0.00005979951,0.000005922326,0.0000407355,0.9982917,0.0002092003,0.0006065919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1709099,"threshold_uncertainty_score":0.5717505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654749709994651,"score_gpt":0.22982888510286,"score_spread":0.2032813880029135,"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."}}