{"id":"W4398327427","doi":"10.7910/dvn/bh43df/fcvtfk","title":"metadata.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Metadata; XML; World Wide Web; Computer science; Information retrieval","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004172919,0.000315401,0.0004570336,0.00006692432,0.0001061553,0.0001392131,0.001139453,0.0002535805,0.4317931],"category_scores_gemma":[0.0001583991,0.0002588349,0.0002240626,0.00025994,0.0001687486,0.000688758,0.001152346,0.0003623424,0.7358248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133951,"about_ca_system_score_gemma":0.00002479303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005010174,"about_ca_topic_score_gemma":0.001813071,"domain_scores_codex":[0.9978701,0.0001106888,0.0003069314,0.0007358419,0.0005994436,0.0003769932],"domain_scores_gemma":[0.9971781,0.00009165867,0.0001403525,0.002423382,0.000006826998,0.0001596871],"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":[0.00001419924,0.00007823211,0.000368275,0.00003158657,0.00008186539,0.00002926583,0.000007517775,0.00007119605,0.000004243423,0.000001728067,0.9989319,0.0003800113],"study_design_scores_gemma":[0.0001870909,0.00002305094,0.0004492832,0.000009656549,0.0003440937,0.00000569306,0.00002797564,0.00005951375,0.000004337451,0.00002029735,0.9985234,0.0003456582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009453181,8.679216e-7,0.0000205477,0.00000767109,0.0003692046,0.0001611462,0.9976776,0.00002309804,0.001645292],"genre_scores_gemma":[0.00002136464,0.0001609543,0.0001055276,0.0005789883,0.00009146046,0.00001387358,0.9942453,0.00001291426,0.004769622],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3040318,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530049666497403,"score_gpt":0.2273326220585267,"score_spread":0.2120321253935526,"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."}}