{"id":"W3094215884","doi":"10.1101/2020.10.22.350272","title":"MLS3: A New Type of Multilevel Selection","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biological dispersal; Selection (genetic algorithm); Context (archaeology); Trait; Biology; Ecology; Demography; Computer science; Sociology; Population; Artificial intelligence","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":[0.001934092,0.0002902513,0.0006567939,0.0004869259,0.0007687217,0.00124624,0.001794601,0.001158193,0.008305757],"category_scores_gemma":[0.005019387,0.0002393261,0.001642545,0.000538828,0.001339885,0.001291827,0.002504341,0.001661672,0.0007344567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009332662,"about_ca_system_score_gemma":0.0006225778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896483,"about_ca_topic_score_gemma":0.002221938,"domain_scores_codex":[0.9989931,0.0004784427,0.0000468807,0.0001539658,0.0002031028,0.0001245146],"domain_scores_gemma":[0.9970568,0.001102275,0.0004000756,0.0007417616,0.0002562106,0.000442815],"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":[0.0002957698,0.0001480465,0.01649735,0.0001422037,0.0002914895,0.0007611342,0.0004667209,0.2270349,0.01816778,0.6836569,0.01095567,0.041582],"study_design_scores_gemma":[0.00007984699,0.00008877114,0.002018585,0.00001365083,0.00003215087,0.0002450388,0.00004356651,0.8246251,0.0008418352,0.1672225,0.004751899,0.0000371283],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2489444,0.000252095,0.7261935,0.002588197,0.0002982175,0.0001200656,0.0005846249,0.001103662,0.01991527],"genre_scores_gemma":[0.9265536,0.00007358665,0.06773705,0.0004780949,0.0001290484,0.0001326859,0.0002026368,0.000184651,0.004508642],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008305757,"threshold_uncertainty_score":0.02778554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397721061458073,"score_gpt":0.2798652474201962,"score_spread":0.2400931412743889,"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."}}