{"id":"W4403582933","doi":"10.1145/3686015.3689352","title":"Fitness Value of Subjective Information for Living Organisms","year":2024,"lang":"en","type":"article","venue":"","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Universitas Brawijaya","keywords":"Value (mathematics); Computer science; Machine learning","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":[0.00137332,0.0005403715,0.0004488753,0.0006826167,0.0005902931,0.002396066,0.0004017498,0.001122217,0.002481424],"category_scores_gemma":[0.008244402,0.0001666574,0.0004536873,0.0004666677,0.001854564,0.002237073,0.001136841,0.0007068167,0.0002453042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121337,"about_ca_system_score_gemma":0.0005013396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008994142,"about_ca_topic_score_gemma":0.0007574448,"domain_scores_codex":[0.9992077,0.0003380046,0.00004006376,0.0001085132,0.0002321143,0.00007365937],"domain_scores_gemma":[0.9969884,0.001802961,0.0003286694,0.0002744955,0.0003776438,0.0002279794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000097139,0.00004843418,0.005491861,0.0001549013,0.0001134716,0.0004098462,0.0004232788,0.05592705,0.007806596,0.8945461,0.0009189286,0.03406246],"study_design_scores_gemma":[0.0000182217,0.0001457204,0.007919558,0.00007393659,0.00006287628,0.000442634,0.0002351224,0.1109905,0.001680134,0.8750597,0.003301617,0.00006993749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5467403,0.003638268,0.3530999,0.004945396,0.0002961302,0.00005252025,0.0002782386,0.00009777998,0.09085142],"genre_scores_gemma":[0.9819733,0.0005237517,0.01405523,0.0001263533,0.00006275129,0.0000245209,0.00005398671,0.00002049181,0.003159746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002481424,"threshold_uncertainty_score":0.008803666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01496974699794397,"score_gpt":0.2499061255587216,"score_spread":0.2349363785607776,"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."}}