{"id":"W6893444674","doi":"10.5281/zenodo.15857588","title":"PMo Dataset","year":2025,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001340885,0.003485266,0.001460465,0.003651758,0.001411628,0.002346433,0.004078638,0.003423791,0.03333957],"category_scores_gemma":[0.0067323,0.0006502774,0.002084886,0.005422382,0.000668236,0.001800513,0.002325629,0.002396774,0.04716795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002081037,"about_ca_system_score_gemma":0.002755508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03285901,"about_ca_topic_score_gemma":0.06325681,"domain_scores_codex":[0.998017,0.0004456204,0.0002134435,0.0005891504,0.0004976197,0.0002372113],"domain_scores_gemma":[0.9976876,0.0007650472,0.0001831874,0.0006001426,0.000541292,0.0002228012],"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":[0.0001334148,0.0001023902,0.001255592,0.0009417619,0.00005969619,0.00008758235,0.00003244598,0.00125428,0.0002101947,0.0009822771,0.9886869,0.006253491],"study_design_scores_gemma":[0.0003922345,0.00007530118,0.005100754,0.0004202087,0.00007486183,0.0002475054,0.000151441,0.003956071,0.0007306457,0.002534527,0.9862558,0.00006056648],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009708378,0.0003828492,0.0003979099,0.0002351999,0.00009178503,0.00005650539,0.9946197,0.001033189,0.002211945],"genre_scores_gemma":[0.000768158,0.00009476217,0.000589702,0.00007465627,0.00001051772,0.00009427191,0.9977204,0.00004472958,0.0006027904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03333957,"threshold_uncertainty_score":0.111532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198762719070006,"score_gpt":0.2627014676061699,"score_spread":0.2507138404154698,"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."}}