{"id":"W4413068295","doi":"10.1007/978-3-031-84560-4_12","title":"Solutions to Selected Function Exercises","year":2025,"lang":"en","type":"book-chapter","venue":"Texts in computer science","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Function (biology); Psychology; Biology; Evolutionary biology","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":[0.0002953192,0.001253338,0.0003831371,0.001000283,0.0009131422,0.001987856,0.00147728,0.001321552,0.1377826],"category_scores_gemma":[0.001064984,0.0002601066,0.0005484798,0.0007492254,0.0005067837,0.001673206,0.001333877,0.001160298,0.04681269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005865308,"about_ca_system_score_gemma":0.0005609043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006910432,"about_ca_topic_score_gemma":0.002164715,"domain_scores_codex":[0.9997355,0.00004956171,0.00001077007,0.00004248219,0.0001101174,0.00005151136],"domain_scores_gemma":[0.999818,0.00005902307,0.000006346613,0.00002580357,0.00006572272,0.00002514859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009282454,0.0001423332,0.000140994,0.0003348164,0.000007944411,0.0002069697,0.0006649786,0.002351298,0.003297284,0.1547933,0.3036004,0.5343669],"study_design_scores_gemma":[0.00001697872,0.00005047525,0.0003028374,0.0002588162,0.000008007478,0.0002645418,0.000383048,0.004483581,0.001774929,0.05481627,0.9376278,0.00001281348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004714515,0.00344937,0.1592632,0.002341443,0.001619078,0.0002005052,0.0006169453,0.002835481,0.8249594],"genre_scores_gemma":[0.01603716,0.002084404,0.04907588,0.0004812629,0.0002336434,0.0001903065,0.00101768,0.0006963738,0.9301833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1377826,"threshold_uncertainty_score":0.4609287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946226759721201,"score_gpt":0.2753039993129004,"score_spread":0.2458417317156884,"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."}}