{"id":"W4412163854","doi":"10.1158/1557-3265.aimachine-a013","title":"Abstract A013: Facilitating AI-Based Hit Discovery through the Development of the AIRCHECK Platform","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research; Structural Genomics Consortium","funders":"","keywords":"Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002782287,0.0001016685,0.000239213,0.00004893124,0.0002475228,0.00005751018,0.000607467,0.0000873134,0.0001342609],"category_scores_gemma":[0.001526423,0.00005453502,0.0001869643,0.0006656461,0.0005034002,0.00009300232,0.0001491119,0.001092418,0.00001598593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324261,"about_ca_system_score_gemma":0.0006750021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002135505,"about_ca_topic_score_gemma":0.000283655,"domain_scores_codex":[0.9979426,0.0001187389,0.0006835773,0.0002109398,0.0006808193,0.0003632949],"domain_scores_gemma":[0.9967518,0.002575818,0.00003916138,0.0004378026,0.0001359509,0.00005945408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009716288,0.0003375656,0.06867211,0.001943265,0.001004979,0.000006082212,0.003522315,0.0349556,0.002208659,0.001046584,0.07380342,0.8124022],"study_design_scores_gemma":[0.004593002,0.0000988434,0.3346042,0.005410332,0.0002484559,5.233947e-7,0.009200248,0.1783975,0.06069121,0.01250668,0.3930992,0.001149802],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650515,0.001429546,0.01333269,0.007868233,0.0006244617,0.0003327652,0.00002520305,0.00007317729,0.01126246],"genre_scores_gemma":[0.9976872,0.00006549746,0.0005772788,0.0003596915,0.00008734421,0.00006664745,0.000003132483,0.00001065231,0.001142552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8112525,"threshold_uncertainty_score":0.4746072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2201609451407127,"score_gpt":0.506431172155065,"score_spread":0.2862702270143522,"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."}}