{"id":"W2971050412","doi":"","title":"Compilation of taxonomic catalogues by computer","year":2019,"lang":"en","type":"article","venue":"Biodiversity Heritage Library (Smithsonian Institution)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001477158,0.002133995,0.002033819,0.03025642,0.001622303,0.005316546,0.002342711,0.0006186061,0.2992187],"category_scores_gemma":[0.01118282,0.001476846,0.001408827,0.04200053,0.000559759,0.003460533,0.002679616,0.001450018,0.2859223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638905,"about_ca_system_score_gemma":0.006885858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01639299,"about_ca_topic_score_gemma":0.01337261,"domain_scores_codex":[0.9982678,0.0001428189,0.0004310532,0.0003136358,0.0007177693,0.0001268733],"domain_scores_gemma":[0.9899766,0.00183939,0.0004744953,0.001979598,0.005106665,0.000623213],"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":[0.0001081581,0.00004669664,0.0006642861,0.001070401,0.00004467521,0.00005479002,0.0001515186,0.0002786731,0.001939588,0.002257723,0.7696069,0.2237765],"study_design_scores_gemma":[0.00005477011,0.00001404519,0.002664627,0.0002981134,0.0000440261,0.000148876,0.0001074682,0.0004608087,0.001135712,0.002104428,0.9929332,0.00003383708],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.003400454,0.001807049,0.04029943,0.0005629607,0.001659679,0.0009535449,0.7700713,0.05442789,0.1268177],"genre_scores_gemma":[0.004386596,0.002124683,0.06423695,0.0001624752,0.0002972035,0.0005891699,0.868262,0.01017618,0.04976471],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2992187,"threshold_uncertainty_score":0.9995795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009190190058593568,"score_gpt":0.1655468929967643,"score_spread":0.1563567029381708,"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."}}