{"id":"W6887797931","doi":"10.17863/cam.113816","title":"Building machines that learn and think with people.","year":2024,"lang":"en","type":"article","venue":"Apollo (University of Cambridge)","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Cambridge Trust; Natural Sciences and Engineering Research Council of Canada; Alan Turing Institute; European Commission; Engineering and Physical Sciences Research Council; Leverhulme Trust; National Science Foundation","keywords":"Construct (python library); Complement (music); Cognition; Trustworthiness; Cognitive robotics; Cognitive systems; Path (computing); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007242487,0.0000926631,0.000120211,0.0001255079,0.0001891175,0.00004273223,0.0001208056,0.00003862784,0.00002759146],"category_scores_gemma":[0.00001852568,0.00008999958,0.00004235614,0.000234015,0.0001378509,0.0003949801,0.00007674772,0.0001329433,0.00002668765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001505675,"about_ca_system_score_gemma":0.0000291824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003395794,"about_ca_topic_score_gemma":0.00009604936,"domain_scores_codex":[0.9993154,0.00003456834,0.00004028705,0.0002808884,0.0001802002,0.0001486085],"domain_scores_gemma":[0.9996806,0.0001042111,0.00003148519,0.0001064618,0.00001666626,0.00006057696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002452088,0.00006265056,0.002554639,0.0003911813,0.00005317283,0.0004303473,0.004611114,0.00002792617,0.05866055,0.8557166,0.002937244,0.07430933],"study_design_scores_gemma":[0.01529348,0.004337385,0.1296875,0.005209063,0.00252692,0.005347645,0.04588487,0.1600479,0.2783235,0.1715408,0.1745336,0.007267237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9270145,0.0002483314,0.002868389,0.001345525,0.0001398756,0.0001098197,0.00002586131,0.0001902928,0.06805738],"genre_scores_gemma":[0.9960688,0.0002138352,0.0007598689,0.0001011147,0.00002429266,8.714252e-8,0.000001899676,0.000010127,0.002819985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6841758,"threshold_uncertainty_score":0.3670076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670458198377712,"score_gpt":0.2166448389477285,"score_spread":0.1999402569639513,"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."}}