{"id":"W4398711040","doi":"10.7910/dvn/eqc8zw","title":"Stowell Datasets Digital Archive: Greensboro, North Carolina, USA","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Library science; Geography; 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":[],"consensus_categories":[],"category_scores_codex":[0.001330502,0.00142551,0.001208172,0.007423579,0.001578154,0.004182806,0.003154903,0.001090379,0.2826282],"category_scores_gemma":[0.008591742,0.000851059,0.0008590553,0.0173912,0.0003611871,0.00229484,0.002611706,0.00186123,0.3059195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002238868,"about_ca_system_score_gemma":0.006117508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1778053,"about_ca_topic_score_gemma":0.236814,"domain_scores_codex":[0.9986956,0.0001728567,0.0001803058,0.0002921243,0.0004737139,0.000185482],"domain_scores_gemma":[0.9943724,0.0007396322,0.0002790643,0.00129422,0.002960531,0.0003542403],"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":[0.000007514038,0.00000459447,0.000146058,0.00006716096,0.000003815363,0.000005825173,0.00001229259,0.00005224259,0.00001387831,0.0002900536,0.9973847,0.002011992],"study_design_scores_gemma":[0.00003240639,0.000003414814,0.001643795,0.0002268236,0.000007515125,0.00001143257,0.0001170314,0.0002322606,0.00007384329,0.0008898702,0.9967453,0.00001625253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007960598,0.00005033295,0.0001514529,0.0001487645,0.00004100036,0.00001509158,0.993845,0.0008961569,0.004772682],"genre_scores_gemma":[0.0004487415,0.0001239703,0.000571628,0.00008028789,0.00001572113,0.0001326938,0.9914593,0.0005866797,0.006581024],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2826282,"threshold_uncertainty_score":0.9454855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228642684920484,"score_gpt":0.2609349966398939,"score_spread":0.238648569790689,"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."}}