{"id":"W6911027268","doi":"10.5061/dryad.rjdfn2z82","title":"Competitive advantage of rare behaviors induces adaptive diversity rather than social conformity in skill learning","year":2020,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Israel Science Foundation","keywords":"Conformity; Foraging; Social learning; Diversity (politics); Competition (biology); Competitive advantage; Forage; Social group","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":[0.001817889,0.002343372,0.001952995,0.002972691,0.001233729,0.00265641,0.00385978,0.003300202,0.04150332],"category_scores_gemma":[0.008471702,0.0006241808,0.00247555,0.003957675,0.0008366781,0.001242049,0.002495703,0.001900678,0.03418569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521727,"about_ca_system_score_gemma":0.001570205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02806942,"about_ca_topic_score_gemma":0.07226792,"domain_scores_codex":[0.9987224,0.0002899063,0.0001456829,0.000443854,0.0002091862,0.0001888739],"domain_scores_gemma":[0.9972048,0.0014888,0.0003377736,0.0004330193,0.0003029947,0.0002325748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003716267,0.0001057231,0.008304948,0.003334884,0.0003185832,0.0001554016,0.0001108677,0.001541684,0.000413226,0.001133575,0.9772109,0.006998484],"study_design_scores_gemma":[0.002029953,0.0001474546,0.04849271,0.00125269,0.0006023451,0.0005676632,0.0003245541,0.005897513,0.001188047,0.006628871,0.9326961,0.0001721218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001183698,0.0003852877,0.0001864432,0.0002290411,0.00006582647,0.00001796737,0.9968874,0.000311242,0.0007330924],"genre_scores_gemma":[0.002438538,0.0001423896,0.0006811957,0.0001150869,0.00001717816,0.0001496572,0.995643,0.00006069259,0.0007522878],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04150332,"threshold_uncertainty_score":0.1388424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05205905954919342,"score_gpt":0.3265372717536572,"score_spread":0.2744782122044637,"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."}}