{"id":"W2156052711","doi":"10.1080/10635150252899789","title":"Systematic Data in Biodiversity Studies: Use It or Lose It","year":2002,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Museum of Natural History; United States Agency for International Development; World Bank Group; Smithsonian Institution","keywords":"Biodiversity; Biology; Global biodiversity; Ecology; Distribution (mathematics); Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009320639,0.000184113,0.0007247863,0.00005408577,0.0001009878,0.00003792101,0.000740099,0.0001242853,0.01998],"category_scores_gemma":[0.001661841,0.000118661,0.00004892266,0.0003198591,0.0002464747,0.0002214924,0.001001707,0.00009402473,0.009595399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000533294,"about_ca_system_score_gemma":0.000003498481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002666702,"about_ca_topic_score_gemma":0.002393357,"domain_scores_codex":[0.9978492,0.0005076039,0.0006846868,0.0004421429,0.0001820227,0.0003343297],"domain_scores_gemma":[0.9980808,0.0005166503,0.0002653632,0.001042689,0.000016119,0.00007831087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006821887,0.001139876,0.194951,0.5185044,0.0007629918,0.0003396673,0.01620518,0.00001860474,0.0007572348,0.001553535,0.2656826,0.00001665389],"study_design_scores_gemma":[0.01239855,0.001919616,0.05196629,0.1727333,0.002639349,0.00131045,0.7111465,0.02996972,0.0002689809,0.0008135731,0.008550738,0.006282971],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830049,0.001913913,0.0001490014,0.005332998,0.000887411,0.004258883,0.0007709078,0.0001479221,0.003534016],"genre_scores_gemma":[0.9975648,0.0002422357,0.00005299374,0.001259813,0.00001004022,0.00008414036,0.00006598096,0.000005215778,0.0007148134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6949413,"threshold_uncertainty_score":0.9911758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2987919539749075,"score_gpt":0.3335267178160953,"score_spread":0.03473476384118773,"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."}}