{"id":"W4398606124","doi":"10.7910/dvn/jjybai","title":"Stowell Datasets Digital Archive: Louisville, Kentucky, USA","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Archaeology; Geography; Library science; Computer science","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":[0.001274782,0.001304318,0.001238426,0.006686904,0.001351329,0.00440336,0.002299178,0.001054805,0.3023434],"category_scores_gemma":[0.007395743,0.0007581608,0.0007143289,0.01408492,0.0003466749,0.002776418,0.002481883,0.001845553,0.3356745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002210779,"about_ca_system_score_gemma":0.005066539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.118027,"about_ca_topic_score_gemma":0.1781498,"domain_scores_codex":[0.9987859,0.0001579333,0.0001962073,0.0003015666,0.0003980184,0.0001603424],"domain_scores_gemma":[0.9950435,0.000547104,0.000287692,0.001142829,0.002633095,0.0003458397],"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":[0.00001203493,0.000006333595,0.0002528812,0.00008129531,0.000005419534,0.000005928418,0.00001120103,0.00005203391,0.0000215671,0.0003691473,0.9963229,0.002859312],"study_design_scores_gemma":[0.00003407257,0.000004211237,0.002004307,0.0002164398,0.000007381202,0.00001145628,0.00009583888,0.0001641202,0.0000906395,0.0008933061,0.9964644,0.00001377725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000764854,0.00005799158,0.0001045961,0.0001314181,0.00003944768,0.00001032454,0.9950192,0.0006298755,0.003930583],"genre_scores_gemma":[0.0004514034,0.0001280403,0.0003995559,0.00006125062,0.00001383254,0.00007972954,0.9916478,0.0004277669,0.006790646],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3023434,"threshold_uncertainty_score":0.9951224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01017685484200617,"score_gpt":0.2133408658441628,"score_spread":0.2031640110021567,"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."}}