{"id":"W1967304706","doi":"10.1080/11035897.2014.880070","title":"Geobiodiversity Database (GBDB) in stratigraphic, palaeontological and palaeogeographic research: graptolites as an example","year":2014,"lang":"en","type":"article","venue":"GFF","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Context (archaeology); Paleontology; Historical geology; Geology; Stratigraphy; Database; Data science; Earth science; Computer science; Sedimentology","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":[0.003010104,0.0006849216,0.0006636692,0.007166153,0.000870995,0.003387621,0.001785684,0.001356377,0.01425375],"category_scores_gemma":[0.006532194,0.0003767794,0.0004170762,0.01572778,0.000585917,0.004240908,0.0035609,0.001130888,0.01068282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009242182,"about_ca_system_score_gemma":0.002070386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007963487,"about_ca_topic_score_gemma":0.005141252,"domain_scores_codex":[0.9988851,0.0002177477,0.0002232916,0.000242464,0.0003483121,0.00008308353],"domain_scores_gemma":[0.9961283,0.001178433,0.0002933717,0.001308404,0.0005664198,0.000524975],"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":[0.000274937,0.0001284691,0.01097281,0.0009741222,0.00005416202,0.0007871374,0.001110687,0.001607552,0.005464185,0.05097048,0.5814745,0.3461809],"study_design_scores_gemma":[0.00004673569,0.00001486043,0.003459438,0.0002221152,0.00001469364,0.0005719864,0.0001835372,0.001741436,0.001884429,0.008187872,0.9836445,0.00002854227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0378094,0.008575131,0.3401407,0.01033502,0.001031721,0.00100639,0.3827291,0.1135577,0.1048149],"genre_scores_gemma":[0.05295786,0.005705039,0.4301977,0.001713581,0.0003893952,0.001086719,0.48176,0.00865097,0.01753883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01425375,"threshold_uncertainty_score":0.0476836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016177783239546,"score_gpt":0.2927536670307801,"score_spread":0.1911358887068255,"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."}}