{"id":"W6968510036","doi":"10.5281/zenodo.15857589","title":"PMo Dataset","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Process (computing); Data collection; Pipeline (software); Work (physics)","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":[0.0003458179,0.0002515666,0.0003629408,0.0004217983,0.001096819,0.0004576292,0.0009629828,0.000203146,0.03806791],"category_scores_gemma":[0.0006002978,0.0002467506,0.00009540443,0.0005278091,0.0001547433,0.00009603992,0.001592104,0.0007357663,0.00572355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002691923,"about_ca_system_score_gemma":0.00002043734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002254882,"about_ca_topic_score_gemma":0.000002025864,"domain_scores_codex":[0.998086,0.0001450793,0.0003201873,0.000587263,0.0004779752,0.0003834586],"domain_scores_gemma":[0.9979659,0.00002212417,0.0001340893,0.001275707,0.0003454025,0.000256767],"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":[0.0001196761,0.0001498641,4.627847e-7,0.000386561,0.0001103713,0.00006570992,0.00002695958,9.069876e-7,0.00003465696,0.0000506713,0.9846898,0.01436441],"study_design_scores_gemma":[0.0006844881,0.0002556671,0.00007829649,0.0001722707,0.000155815,0.0001342552,0.00003719822,0.000006846093,0.0000197927,0.000009123568,0.998234,0.0002122531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002484189,0.0001858012,0.00005317532,0.0006426689,0.0002463218,0.0005350191,0.9864388,0.0002950351,0.01157837],"genre_scores_gemma":[0.00008062414,0.0009061025,0.00002781798,0.0007302612,0.0003495843,3.868947e-8,0.9957959,0.0005944443,0.001515219],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03234436,"threshold_uncertainty_score":0.9999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883183750287995,"score_gpt":0.3045191337956857,"score_spread":0.2656872962928057,"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."}}