{"id":"W6967328454","doi":"10.5061/dryad.34j84c0","title":"Data from: Kin selection and allocare in sperm whales","year":2018,"lang":"en","type":"dataset","venue":"Data Archiving and Networked Services (DANS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Kinship; Sperm whale; Context (archaeology); Kin selection; Sperm; Selection (genetic algorithm); Paternal care","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":[0.001399166,0.001167818,0.0009426168,0.003128515,0.0007512068,0.001664056,0.001848485,0.001282255,0.04257836],"category_scores_gemma":[0.007682768,0.0005488748,0.0007472222,0.004339762,0.0004117066,0.0009086027,0.001972221,0.001264339,0.02946526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010206,"about_ca_system_score_gemma":0.001781826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03887278,"about_ca_topic_score_gemma":0.06184503,"domain_scores_codex":[0.999121,0.0001272279,0.0001569492,0.0002309879,0.0002119141,0.0001518948],"domain_scores_gemma":[0.9975837,0.0007102917,0.0004501325,0.0004675908,0.0005880712,0.0002001524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002152051,0.0000581192,0.01738218,0.002607304,0.0001493343,0.0001468008,0.0004099614,0.0006826051,0.0007549512,0.001593049,0.9687575,0.007242878],"study_design_scores_gemma":[0.0003035451,0.00002542585,0.04995385,0.0006887304,0.00006720389,0.0001256771,0.0004256075,0.0005641866,0.0006843388,0.001161272,0.9459426,0.00005749832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001022301,0.00006273598,0.00008772399,0.00007453478,0.00001700962,0.00001166212,0.9980443,0.0001436224,0.000536198],"genre_scores_gemma":[0.002589894,0.00007803422,0.0004739292,0.000033513,0.000007369585,0.0001367973,0.9957256,0.00008355361,0.0008712256],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04257836,"threshold_uncertainty_score":0.1424388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04563840132379254,"score_gpt":0.3001179391220424,"score_spread":0.2544795377982499,"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."}}