{"id":"W4409629661","doi":"10.1158/1538-7445.am2025-3927","title":"Abstract 3927: Bone Metastasis Technology Platform: Establishing clinically relevant bone metastasis models for breast and prostate cancer and multiple myeloma","year":2025,"lang":"en","type":"article","venue":"Cancer Research","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Micropharma (Canada)","funders":"","keywords":"Prostate cancer; Medicine; Bone metastasis; Multiple myeloma; Metastasis; Breast cancer; Oncology; Prostate; Breast cancer metastasis; Cancer; Internal medicine; Cancer research","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":[0.001353267,0.001111204,0.000802184,0.001498453,0.0007726906,0.0007440733,0.001036369,0.001474491,0.006891289],"category_scores_gemma":[0.0003883729,0.0005859053,0.001150045,0.000757267,0.0004636458,0.0004954991,0.0007797606,0.002528688,0.003735255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007705868,"about_ca_system_score_gemma":0.00126879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002985918,"about_ca_topic_score_gemma":0.005384088,"domain_scores_codex":[0.9988382,0.0002015022,0.00007096723,0.000160683,0.0005096798,0.0002190085],"domain_scores_gemma":[0.9995173,0.00006770254,0.00007001818,0.00006450562,0.0001127728,0.0001677094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005806473,0.0009787371,0.0004703309,0.000235622,0.00003422176,0.0002243008,0.0001073053,0.0006739276,0.9815785,0.001393681,0.00480203,0.008920741],"study_design_scores_gemma":[0.0006466245,0.007991733,0.005866358,0.00008505049,0.0001366344,0.001584394,0.00009515426,0.005134122,0.9058089,0.0004936929,0.0720951,0.0000622897],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7528884,0.01416644,0.1414177,0.003923427,0.001215186,0.008516823,0.02663099,0.004758616,0.04648252],"genre_scores_gemma":[0.6993826,0.01211344,0.160509,0.001425597,0.0002059595,0.0122392,0.0405769,0.0008813583,0.07266595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006891289,"threshold_uncertainty_score":0.02305365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1194129501964481,"score_gpt":0.4426454095660564,"score_spread":0.3232324593696083,"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."}}