{"id":"W3193683871","doi":"10.20944/preprints202108.0416.v1","title":"Natural Selection beyond Life? A Workshop Report","year":2021,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Origins and Evolution of Life","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Centre National de la Recherche Scientifique","keywords":"Natural selection; Selection (genetic algorithm); Context (archaeology); Natural (archaeology); Living systems; Cognitive science; Epistemology; Computer science; Artificial intelligence; Psychology; Biology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004571396,0.0004448153,0.0005546864,0.0001278297,0.0002074372,0.000111201,0.0004099681,0.0002616589,0.006611329],"category_scores_gemma":[0.0001066522,0.0004837035,0.0004998819,0.000251915,0.00006480792,0.0001869521,0.001386909,0.001676299,0.0005088582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001451853,"about_ca_system_score_gemma":0.0007071198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006288681,"about_ca_topic_score_gemma":0.00002332536,"domain_scores_codex":[0.9970556,0.0001126422,0.0007170362,0.001226984,0.000420171,0.0004675052],"domain_scores_gemma":[0.9977068,0.00004782108,0.0005314458,0.001120337,0.0003370453,0.0002565686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002337124,0.0002384984,0.9924954,0.00006130929,0.0004703314,0.00003255374,0.0003493563,0.001087844,0.001173644,0.00155857,0.001928135,0.0005809867],"study_design_scores_gemma":[0.001043785,0.0000164189,0.853045,0.0004922766,0.0003928621,0.00007430887,0.001395375,0.002378837,0.01580909,0.006488498,0.1167345,0.00212901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592884,0.000188414,0.00147367,0.000818025,0.00316327,0.0003786955,0.00002803916,0.0001879756,0.03447348],"genre_scores_gemma":[0.9817111,0.00001479306,0.0005092816,0.00011684,0.00235058,0.000145755,0.0005246014,0.00005414991,0.01457287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1394504,"threshold_uncertainty_score":0.9997615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06012814665434798,"score_gpt":0.3353034837028368,"score_spread":0.2751753370484888,"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."}}