{"id":"W4413330058","doi":"10.17758/eares22","title":"Canada - Europa International conferences 2025 RSTSSE-25, BASET-25, WMBB-25, AIET-25, STHSS-25 & LLSSH-25","year":2025,"lang":"en","type":"paratext","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002029513,0.001472283,0.0008852712,0.002222188,0.002038643,0.006519024,0.001689861,0.003002231,0.3445572],"category_scores_gemma":[0.002400672,0.000447469,0.0008571972,0.001665305,0.001158185,0.001358283,0.002087949,0.001960802,0.2402361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01170191,"about_ca_system_score_gemma":0.04249386,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3811998,"about_ca_topic_score_gemma":0.5099367,"domain_scores_codex":[0.9988075,0.0000772269,0.00002659556,0.0000875593,0.0007205393,0.0002804825],"domain_scores_gemma":[0.9943852,0.0002601973,0.0001121997,0.0001720007,0.002916817,0.00215356],"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":[0.0001010271,0.00004948292,0.0001853835,0.00009759719,0.00001066457,0.00004363123,0.0000106617,0.0007955933,0.0005554971,0.005418921,0.9529157,0.03981587],"study_design_scores_gemma":[0.00003896372,0.0000300186,0.0008310389,0.000073797,0.000009573087,0.0000404916,0.0000412866,0.001727674,0.0008237374,0.002624327,0.9937446,0.00001456868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00264035,0.004013808,0.01392633,0.02239231,0.01313517,0.0004677857,0.03759515,0.00606621,0.899763],"genre_scores_gemma":[0.005505765,0.001351987,0.005739457,0.001532582,0.0005689533,0.00006160709,0.01352534,0.001051751,0.9706625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6554428,"threshold_uncertainty_score":0.9349096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03531547469902026,"score_gpt":0.3464389072238173,"score_spread":0.3111234325247971,"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."}}