{"id":"W6959115355","doi":"10.6084/m9.figshare.c.7171731.v1","title":"Segmentation of patients with small cell lung cancer into responders and non-responders using the optimal cross-validation technique","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Victoria","funders":"","keywords":"Cutoff; Hazard ratio; Segmentation; Proportional hazards model; Lung cancer; Clinical trial","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":[0.009211455,0.0008764972,0.001360519,0.0019407,0.0004882223,0.001086404,0.000940003,0.001410735,0.0008359764],"category_scores_gemma":[0.008437485,0.0003271586,0.001752541,0.000619409,0.0004127456,0.0004175174,0.0006738144,0.001180008,0.0003559031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005438767,"about_ca_system_score_gemma":0.0009983596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004158433,"about_ca_topic_score_gemma":0.003036917,"domain_scores_codex":[0.9969165,0.001474201,0.0003286827,0.000710359,0.0002984559,0.0002717928],"domain_scores_gemma":[0.9942096,0.003382311,0.0005121467,0.0005867576,0.001053022,0.0002561034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0032972,0.001182765,0.265735,0.0003278895,0.001303708,0.001094609,0.0008113178,0.3188455,0.02526611,0.001614406,0.007492819,0.3730287],"study_design_scores_gemma":[0.00005431228,0.0002593225,0.01950536,0.00002606956,0.0001026999,0.000191504,0.00007156966,0.9747697,0.003537747,0.000819087,0.0006384189,0.00002415311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.615015,0.001208346,0.3801966,0.0004937906,0.0001066615,0.0003144818,0.0006693675,0.00104846,0.0009472357],"genre_scores_gemma":[0.9491646,0.00009131028,0.04830164,0.0001677118,0.00003999797,0.0001502773,0.001422178,0.00005817789,0.0006040997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009211455,"threshold_uncertainty_score":0.04871541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274566276711111,"score_gpt":0.2571920156250085,"score_spread":0.2344463528578974,"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."}}