{"id":"W7071577461","doi":"","title":"Semi-Autonomous Grabber Attachment for a Drone","year":2022,"lang":"en","type":"report","venue":"QSpace (Queen's University Library)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Programmer; Personal computer; Drone; Wallpaper; Ball (mathematics); Tactile sensor; Robot","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001889289,0.0008214262,0.000488513,0.0005569349,0.0005025992,0.0005101833,0.001530755,0.00090014,0.007352547],"category_scores_gemma":[0.0003314388,0.0004550948,0.0003152646,0.0001527254,0.0002959509,0.0007603484,0.0009805397,0.0004881153,0.003081155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979275,"about_ca_system_score_gemma":0.0003661247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001255099,"about_ca_topic_score_gemma":0.002149267,"domain_scores_codex":[0.9996628,0.00002821265,0.0000155222,0.00006763197,0.0001884298,0.00003750158],"domain_scores_gemma":[0.9997558,0.00002308519,0.00003764224,0.00003843917,0.0000852103,0.00005976524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004249915,0.0001836469,0.002386444,0.0005524764,0.00006664007,0.001880925,0.0005205015,0.007293175,0.7853625,0.002879658,0.008899695,0.1895493],"study_design_scores_gemma":[0.0003864057,0.007779313,0.03883432,0.0003520784,0.0002414988,0.009201589,0.0006690999,0.2671127,0.3604816,0.002635422,0.3118636,0.0004423497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2348987,0.0007226195,0.7182817,0.0005761312,0.0004520916,0.00105439,0.0003971953,0.00919026,0.03442692],"genre_scores_gemma":[0.708833,0.0004156054,0.2299898,0.0004987788,0.0001220518,0.0006421648,0.0006637081,0.0003691972,0.0584657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007352547,"threshold_uncertainty_score":0.02459675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720636604177112,"score_gpt":0.232181785056946,"score_spread":0.2149754190151749,"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."}}