{"id":"W4401966919","doi":"10.7717/peerj.17925","title":"Lost, hidden, broken, cut-estimating and interpreting the shapes and masses of damaged assemblages of plesiosaur gastroliths","year":2024,"lang":"en","type":"article","venue":"PeerJ","topic":"Paleontology and Evolutionary Biology","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Ellipsoid; Geology; Geodesy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003747967,0.00007851268,0.0001531196,0.000047899,0.00007935481,0.00001650083,0.00009759354,0.00005281049,0.0001748413],"category_scores_gemma":[0.0001952691,0.00005018055,0.00002435294,0.00006846938,0.0003061998,0.000103489,0.00002264982,0.0001189856,0.00000668781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":8.782093e-7,"about_ca_system_score_gemma":0.0000222075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003494686,"about_ca_topic_score_gemma":0.001035606,"domain_scores_codex":[0.9993528,0.0001078333,0.0001738917,0.000154703,0.00007028773,0.0001404451],"domain_scores_gemma":[0.9989361,0.000893878,0.00005610928,0.00006235607,0.00002059925,0.00003092379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002642054,0.000003413391,0.9823412,0.0001262794,0.00003006293,0.000007676401,0.0004909176,0.00006195482,0.001002535,0.0002710766,0.0003132353,0.01532522],"study_design_scores_gemma":[0.00005972954,0.00009963307,0.9402743,0.00009940453,0.00002496029,0.00008784616,0.0004167859,0.0573926,0.0001325247,0.001134822,0.0002238379,0.00005355767],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869263,0.008664305,0.0002817731,0.0008461483,0.0001296942,0.00005553557,0.00005196437,0.00001731022,0.003027009],"genre_scores_gemma":[0.9970772,0.0001053121,0.002626182,0.00004536857,0.00004722905,4.522899e-7,0.00001162442,0.000001485183,0.00008513607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05733064,"threshold_uncertainty_score":0.2046303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270351742511049,"score_gpt":0.2415780960142773,"score_spread":0.2288745785891668,"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."}}