{"id":"W3159634378","doi":"10.1007/s10071-021-01519-y","title":"Learning about construction behaviour from observing an artefact: can experience with conspecifics aid in artefact recognition?","year":2021,"lang":"en","type":"article","venue":"Animal Cognition","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nest (protein structural motif); Taeniopygia; Association (psychology); Communication; Social animal; Psychology; Ecology; Cognitive psychology; Biology; Zebra finch","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008367785,0.0004118436,0.0004163234,0.000250606,0.0002671082,0.001642684,0.0007699479,0.001579607,0.003400109],"category_scores_gemma":[0.007549909,0.0003329847,0.0004351529,0.0001511327,0.001062295,0.002835187,0.001177075,0.001062705,0.0004070551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002913909,"about_ca_system_score_gemma":0.0005532965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744179,"about_ca_topic_score_gemma":0.003328802,"domain_scores_codex":[0.9995825,0.0001001699,0.00001883968,0.000129333,0.00009683471,0.00007233588],"domain_scores_gemma":[0.9969695,0.0008858815,0.0008432704,0.0006310482,0.0002173129,0.0004531009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001914754,0.001353886,0.309541,0.0006268003,0.000362832,0.001271707,0.004871789,0.00534661,0.4254636,0.004818548,0.001864685,0.2425638],"study_design_scores_gemma":[0.00009366892,0.002796615,0.8625584,0.0002086616,0.0003560611,0.00185091,0.005358801,0.03509075,0.06511208,0.02144353,0.004914671,0.000215859],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873441,0.0002115364,0.006635184,0.000263403,0.0000370456,0.00001613462,0.00003631633,0.00005372854,0.005402485],"genre_scores_gemma":[0.9945695,0.0001544768,0.004015994,0.00009251442,0.000008524783,0.000009121542,0.00008359695,0.00002412594,0.001042098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003400109,"threshold_uncertainty_score":0.01137453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666087572348326,"score_gpt":0.2457184838533032,"score_spread":0.1990576081298199,"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."}}