{"id":"W6912157713","doi":"10.5281/zenodo.16095685","title":"Hispanotherium matritense","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Paleopathology and ancient diseases","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Identification (biology); Process (computing); Product (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007556431,0.0005104702,0.0002220811,0.0007351773,0.0007160963,0.0002716789,0.0004547997,0.0004763612,0.008956627],"category_scores_gemma":[0.000190201,0.0001511765,0.0001185367,0.0005530429,0.0004720591,0.0008439659,0.0006811435,0.0006566034,0.003323484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000268814,"about_ca_system_score_gemma":0.0001407883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246002,"about_ca_topic_score_gemma":0.004294178,"domain_scores_codex":[0.9999018,0.000009442789,0.000007120046,0.00004452606,0.00002617262,0.00001085562],"domain_scores_gemma":[0.9999381,0.00001351221,0.00002118453,0.000009023564,0.00001107873,0.000007045711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001031393,0.0002496326,0.01550332,0.001334395,0.0001445745,0.01189044,0.005788019,0.001997281,0.3283657,0.01604265,0.0127904,0.6048622],"study_design_scores_gemma":[0.0002028063,0.001225356,0.3511173,0.0003787107,0.0002343299,0.02780397,0.003376701,0.001126627,0.02405735,0.005668866,0.5847291,0.00007892874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275309,0.008666129,0.007783596,0.001229007,0.0008269814,0.0003947649,0.002670605,0.0003899016,0.3505081],"genre_scores_gemma":[0.958712,0.002864804,0.002694944,0.0003262436,0.0001716622,0.00005697535,0.001484398,0.00002947372,0.03365941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008956627,"threshold_uncertainty_score":0.02996296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0353360775477264,"score_gpt":0.2370189619993925,"score_spread":0.2016828844516661,"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."}}