{"id":"W7107957261","doi":"10.71781/32566","title":"Modeling the world to reason and plan","year":2025,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Canadian Institute for Advanced Research; Nvidia","keywords":"Context (archaeology); Gloom; Demise","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001871582,0.00133554,0.0007710812,0.001737653,0.001033517,0.00590237,0.002170814,0.002143056,0.01459935],"category_scores_gemma":[0.006594512,0.0007467431,0.002317415,0.00161305,0.005236864,0.009908583,0.004233983,0.003064967,0.002551551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089598,"about_ca_system_score_gemma":0.003161983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009133868,"about_ca_topic_score_gemma":0.008534815,"domain_scores_codex":[0.9982522,0.0008884825,0.0001301072,0.0003830757,0.0002479157,0.00009823679],"domain_scores_gemma":[0.9976425,0.001273651,0.0001558421,0.0006498351,0.0001534744,0.0001247925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004441371,0.00003755077,0.0005781076,0.0003320078,0.00008442707,0.0001409414,0.001153856,0.03311346,0.0004622546,0.9167673,0.005022516,0.04226296],"study_design_scores_gemma":[0.0000279628,0.00003428545,0.0002188604,0.0002176035,0.00005116996,0.0001008916,0.000517028,0.04732261,0.0004789386,0.8593558,0.0916471,0.00002762135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007022077,0.005398368,0.9137394,0.01142438,0.0004747681,0.0002187465,0.0008138611,0.0009694324,0.05993883],"genre_scores_gemma":[0.3032485,0.009194745,0.6425681,0.002077616,0.0004896006,0.001038357,0.002382781,0.0004719309,0.03852852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01459935,"threshold_uncertainty_score":0.04883969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136840610264817,"score_gpt":0.3285671023517088,"score_spread":0.2771986962490607,"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."}}