{"id":"W4392975536","doi":"10.1016/j.gmod.2024.101217","title":"DINA: Deformable INteraction Analogy","year":2024,"lang":"en","type":"article","venue":"Graphical Models","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Analogy; Computer science; Philosophy; Epistemology","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":[0.0008958628,0.001623288,0.001132859,0.001232045,0.0008048824,0.001626997,0.003719015,0.002084828,0.01634334],"category_scores_gemma":[0.00360879,0.0007266596,0.002254817,0.0009453659,0.001355338,0.002548153,0.005099081,0.002598773,0.004159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008843818,"about_ca_system_score_gemma":0.000760564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644348,"about_ca_topic_score_gemma":0.002272734,"domain_scores_codex":[0.9984494,0.0002786647,0.00007516491,0.0003745765,0.0007173624,0.0001047058],"domain_scores_gemma":[0.9991117,0.000274301,0.00008049445,0.0003348853,0.0001021905,0.00009642418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004160756,0.0003599413,0.00204429,0.0006846492,0.0001641892,0.0008188886,0.0006913159,0.3557586,0.05161186,0.1024576,0.03196392,0.4530286],"study_design_scores_gemma":[0.00005839911,0.0002579554,0.0006326155,0.00005174565,0.00003161923,0.0007620854,0.00007992098,0.8869832,0.01262747,0.04064389,0.05778336,0.00008769052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006067855,0.0002592195,0.9802797,0.0001624992,0.0001204705,0.0002053734,0.0004621572,0.005707933,0.006734761],"genre_scores_gemma":[0.2261637,0.0004128762,0.7539853,0.0006546836,0.0001040032,0.0009458688,0.003324596,0.0020162,0.01239288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01634334,"threshold_uncertainty_score":0.05467385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778941246121292,"score_gpt":0.2446495736617823,"score_spread":0.2168601612005694,"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."}}