{"id":"W2118237936","doi":"10.1017/s0140525x09991610","title":"Intergenerational conflict over grandparental investment","year":2010,"lang":"en","type":"article","venue":"Behavioral and Brain Sciences","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Grandparent; Investment (military); Selection (genetic algorithm); Microeconomics; Economics; Psychology; Computer science; Developmental psychology; Political science; 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":[0.002434997,0.0002087973,0.0002731875,0.0004223112,0.0006103756,0.002135022,0.0005065944,0.0005440268,0.006383247],"category_scores_gemma":[0.007708898,0.0001697707,0.0001011581,0.0005062848,0.0009400702,0.0008358852,0.001373154,0.0009768324,0.0002986046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008563869,"about_ca_system_score_gemma":0.000242198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007929727,"about_ca_topic_score_gemma":0.001326015,"domain_scores_codex":[0.9990225,0.000500971,0.00003895244,0.0001219473,0.0001818181,0.0001337916],"domain_scores_gemma":[0.9942262,0.002914767,0.001203477,0.0005295953,0.0005530127,0.0005729855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001107688,0.0003391844,0.5471951,0.0002502731,0.0003928455,0.002754282,0.006525116,0.01341954,0.02835909,0.2703688,0.004892724,0.1243953],"study_design_scores_gemma":[0.00004969366,0.0002882134,0.7012276,0.0001263333,0.0001519314,0.003304855,0.005440959,0.01846375,0.006385273,0.2413644,0.02310081,0.0000961746],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950579,0.001090224,0.006985223,0.001577549,0.00003384284,0.0000112251,0.0001553997,0.00001529488,0.03955225],"genre_scores_gemma":[0.9983315,0.000119225,0.0003903337,0.00007716434,0.00001203684,0.000003967451,0.00003327658,0.000003837436,0.001028705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006383247,"threshold_uncertainty_score":0.02135408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0914087256120654,"score_gpt":0.4074032951734415,"score_spread":0.3159945695613761,"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."}}