{"id":"W4398886432","doi":"10.7910/dvn/wislpa","title":"Stowell Datasets Digital Archive: Palm Springs, California, 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":"Palm; Archaeology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004330717,0.0004124901,0.0004675962,0.0002581367,0.001257719,0.00002733136,0.001806977,0.0005870894,0.02823079],"category_scores_gemma":[0.000770606,0.000419151,0.0001802302,0.0001996833,0.002793885,0.0006519596,0.001086114,0.001128481,0.2791193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002406578,"about_ca_system_score_gemma":0.0006482862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008711652,"about_ca_topic_score_gemma":0.01697138,"domain_scores_codex":[0.9970201,0.0002796288,0.000392448,0.0007807569,0.000741325,0.0007858008],"domain_scores_gemma":[0.9975794,0.0003157006,0.0002969287,0.001319932,0.00004920941,0.0004388124],"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":[0.0000662569,0.0000764744,0.0001422783,0.00003258917,0.00005329515,0.0006924298,0.0003107155,6.73177e-7,5.59036e-7,0.00006948539,0.9976398,0.0009154073],"study_design_scores_gemma":[0.0002621922,0.00003159469,0.00010776,0.00004171192,0.00006659036,0.00002590522,0.00008471309,0.000001063714,7.93096e-7,0.0001855277,0.9986919,0.000500238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002760596,0.00003319932,0.00002378812,0.00002078471,0.001161498,0.0003239812,0.9963906,0.00007093129,0.001947606],"genre_scores_gemma":[0.00002639572,0.007816145,0.000269165,0.0004867309,0.0007356881,0.00001472606,0.9889888,0.00002105734,0.001641252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2508885,"threshold_uncertainty_score":0.99992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540097016380524,"score_gpt":0.262260453972464,"score_spread":0.2468594838086588,"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."}}