{"id":"W4398967073","doi":"10.7910/dvn/vlihrp","title":"Stowell Datasets Digital Archive: Shreveport, Louisiana, USA","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Cartography; 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":[0.001128155,0.00116065,0.0009928808,0.005516808,0.001047038,0.003446622,0.002083072,0.0008724217,0.215964],"category_scores_gemma":[0.005896556,0.0006881317,0.0007788683,0.01012509,0.0003055624,0.001897335,0.001994081,0.001533436,0.2758707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155545,"about_ca_system_score_gemma":0.003815027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09444451,"about_ca_topic_score_gemma":0.15907,"domain_scores_codex":[0.9991135,0.0001364651,0.0001236098,0.0002285959,0.0002737668,0.0001239616],"domain_scores_gemma":[0.9967188,0.0003841313,0.0001739832,0.0008203731,0.001685579,0.0002171129],"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":[0.000009874814,0.000006203415,0.0002645173,0.00007119814,0.000006424948,0.000005128804,0.00001046825,0.00005962617,0.00002019717,0.0002690972,0.9969199,0.00235737],"study_design_scores_gemma":[0.0000447529,0.00000568364,0.002227308,0.000225994,0.000009548017,0.00001436873,0.0001063847,0.000325805,0.0001301448,0.0008412831,0.9960524,0.00001640621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001170693,0.00005130019,0.000134689,0.0001121437,0.00003156019,0.00001155165,0.9950477,0.001167457,0.003326698],"genre_scores_gemma":[0.0004956846,0.0000922522,0.0005225167,0.00005239985,0.00001083644,0.00008398721,0.9928851,0.0004773329,0.0053798],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.215964,"threshold_uncertainty_score":0.7224715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702883956207577,"score_gpt":0.2726964116092316,"score_spread":0.2556675720471558,"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."}}