{"id":"W2319072267","doi":"10.1242/jeb.116533","title":"Slime moulds use heuristics based on within-patch experience to decide when to leave","year":2015,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Heuristics; Physarum polycephalum; Foraging; Quality (philosophy); Physarum; Computer science; Forage; Artificial intelligence; Ecology; Biology; Botany","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222539,0.0002248846,0.0002387062,0.0001733411,0.0002009258,0.000497173,0.0002809319,0.0003719928,0.0003329831],"category_scores_gemma":[0.0009773877,0.0001857131,0.0001878863,0.00008739509,0.0005120277,0.0004128311,0.0004679097,0.0004623904,0.00008265244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003004911,"about_ca_system_score_gemma":0.0002451583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153892,"about_ca_topic_score_gemma":0.004418867,"domain_scores_codex":[0.9998568,0.00002616064,0.00001164768,0.00004141045,0.00002799623,0.00003591546],"domain_scores_gemma":[0.9993338,0.0001646253,0.0002719534,0.00009002793,0.00005400546,0.000085591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002120978,0.00007485266,0.0623332,0.0001319735,0.00004544258,0.0001343008,0.0004321669,0.003527312,0.9172654,0.0004053426,0.00007446582,0.01536335],"study_design_scores_gemma":[0.0000443887,0.001557319,0.7739027,0.00004076612,0.00009284032,0.0004023729,0.001135045,0.03759628,0.1815364,0.002113536,0.001472491,0.0001058087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982929,0.00004552941,0.001290731,0.00001568875,0.000001260439,0.000004822814,0.00001142846,0.00001994081,0.0003176815],"genre_scores_gemma":[0.9976453,0.00003453459,0.002087772,0.00002695894,8.514378e-7,0.00000648167,0.00002575072,0.000006314012,0.0001660024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002153892,"threshold_uncertainty_score":0.004282653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844190947104983,"score_gpt":0.3416625465960948,"score_spread":0.273220637125045,"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."}}