{"id":"W2716243114","doi":"10.17760/d20248546","title":"Robotic grasping in cluttered scenes","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"GRASP; Artificial intelligence; Kinematics; Computer vision; Computer science; Mobile robot; Convolutional neural network; Porting; Engineering; Robot; Simulation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005374141,0.0001581035,0.0002057541,0.0001974457,0.00005817338,0.00009023703,0.0001406071,0.0001761754,0.0003294159],"category_scores_gemma":[0.0000294006,0.0001703522,0.00004787712,0.00004739049,0.000003660192,0.0001062717,0.000003625562,0.000275037,0.0001453635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004176549,"about_ca_system_score_gemma":0.00001193296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007773763,"about_ca_topic_score_gemma":0.001509426,"domain_scores_codex":[0.9994022,0.00001045658,0.000195319,0.0001357491,0.00009156548,0.0001646951],"domain_scores_gemma":[0.9996982,0.00001205546,0.00004743853,0.0001974685,0.00001507399,0.00002975707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002848548,0.00000372266,0.00141637,0.0002195945,0.0000146212,0.00000791785,0.0003433565,0.9889319,0.0004803057,0.0001887088,0.0004047448,0.007985926],"study_design_scores_gemma":[0.0003180333,0.000007509144,0.2823375,0.0006511135,0.0000192149,0.000001742313,0.0003983013,0.714047,0.0005123183,0.00014944,0.001003877,0.000553927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1195845,0.001715057,0.01615569,0.00007890731,0.00663868,0.0005911215,1.160696e-7,0.001288459,0.8539475],"genre_scores_gemma":[0.9739321,0.00005501789,0.0001644353,0.00001106568,0.00008968977,0.00001053514,0.0001989038,0.0000515425,0.02548664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8543476,"threshold_uncertainty_score":0.6946761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02503085300707903,"score_gpt":0.27258186043625,"score_spread":0.247551007429171,"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."}}