{"id":"W6906545593","doi":"10.17632/yzfskp79jw.1","title":"Limestone Geochemistry Dataset","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRACE (psycholinguistics); Rare earth; Trace element; Rare-earth element; Raw material; Earth (classical element)","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","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001229077,0.0010602,0.00105939,0.0003647238,0.0002149279,0.0002807399,0.01360753,0.0008579735,0.004527726],"category_scores_gemma":[0.001236674,0.00113121,0.0000803053,0.0007488439,0.0002425615,0.0005860958,0.01490893,0.001740116,0.009033741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774953,"about_ca_system_score_gemma":0.001312957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097509,"about_ca_topic_score_gemma":0.0006646689,"domain_scores_codex":[0.9939288,0.0001969317,0.0009003844,0.002802035,0.001129695,0.001042189],"domain_scores_gemma":[0.9723098,0.0002296595,0.000547774,0.02652055,0.00009566118,0.0002965375],"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":[0.00005926706,0.0003551945,6.180069e-7,0.0006688737,0.0004241682,0.0002982123,0.000001065722,7.39951e-7,0.0001757009,0.000001622153,0.9977046,0.0003099504],"study_design_scores_gemma":[0.0006323893,0.00001967542,8.267628e-7,0.0003726786,0.000931324,0.00006226169,0.00001135963,0.0000536813,0.0003127816,0.00002061643,0.9965745,0.001007948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[8.814959e-7,0.001646261,0.000003548623,0.0001546188,0.0006912663,0.0004528779,0.9963232,0.0002156024,0.0005117144],"genre_scores_gemma":[4.184648e-7,0.0009034713,0.0004045019,0.0006051807,0.0006855517,0.00006677932,0.9957829,0.00007617634,0.001475074],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02371851,"threshold_uncertainty_score":0.9991138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05731754156959758,"score_gpt":0.3565698854173477,"score_spread":0.2992523438477502,"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."}}