{"id":"W4398531708","doi":"10.7910/dvn/mf2skv","title":"Stowell Datasets Digital Archive: Richmond, Virginia, 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":"Archaeology; Cartography; History; Computer science; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.001311381,0.001375658,0.00141998,0.007244236,0.00137553,0.005035065,0.003053658,0.001156822,0.261513],"category_scores_gemma":[0.008421089,0.0008868939,0.0009282473,0.01451141,0.000315646,0.002562321,0.00260117,0.001944699,0.3299497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637561,"about_ca_system_score_gemma":0.004239795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07725047,"about_ca_topic_score_gemma":0.1025527,"domain_scores_codex":[0.9986989,0.0001976119,0.0001837393,0.0003190713,0.0004380379,0.0001626356],"domain_scores_gemma":[0.9955832,0.0006252887,0.0002407732,0.001227062,0.002058605,0.0002650481],"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":[0.000009243478,0.000005717269,0.0001580409,0.00006366683,0.00000522667,0.000004537092,0.000008797823,0.0000568509,0.0000102899,0.0003916279,0.9967442,0.002541853],"study_design_scores_gemma":[0.00003515948,0.000003985449,0.0011117,0.0002279665,0.000008406732,0.00001179558,0.00007741466,0.0002309047,0.0000830923,0.001022903,0.9971716,0.00001510124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008131239,0.00007118843,0.0002044213,0.0001415399,0.00005618021,0.0000168392,0.9920812,0.001378902,0.005968476],"genre_scores_gemma":[0.0005244417,0.0001608729,0.0008044975,0.00008877859,0.0000196762,0.0001242885,0.9900097,0.0007496508,0.007518079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.261513,"threshold_uncertainty_score":0.8748482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00897739136304592,"score_gpt":0.2151266885408777,"score_spread":0.2061492971778318,"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."}}