{"id":"W4412204567","doi":"","title":"The HERD Project:Human-Multi-Robot Interaction in Search & Rescue and in Farming","year":2022,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Herd; Search and rescue; Agriculture; Robot; Rescue robot; Computer science; Agricultural science; Geography; Artificial intelligence; Biology; Ecology; Mobile robot; Archaeology","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":[0.003169061,0.0006207955,0.0005495444,0.0006132919,0.001222598,0.001641674,0.001418016,0.002209186,0.008379086],"category_scores_gemma":[0.001879642,0.0003634196,0.0005203429,0.0004797534,0.002006995,0.002498878,0.004734647,0.00126153,0.00125313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007527504,"about_ca_system_score_gemma":0.00139023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00378984,"about_ca_topic_score_gemma":0.005970171,"domain_scores_codex":[0.9979739,0.001134204,0.00003944246,0.0003155392,0.0003391734,0.0001977149],"domain_scores_gemma":[0.9987653,0.0005588181,0.00006790589,0.0001888082,0.0001326816,0.0002865813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003333295,0.003066748,0.02007137,0.002216313,0.0004752557,0.002375289,0.01560877,0.02761112,0.05750965,0.04049395,0.08447708,0.7427611],"study_design_scores_gemma":[0.002202273,0.008692723,0.06930999,0.001129641,0.0004482653,0.004653119,0.0243805,0.158237,0.07548123,0.05601715,0.5990013,0.000446769],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3950626,0.0138754,0.4906694,0.008090811,0.001269034,0.002852509,0.002292441,0.008294251,0.07759371],"genre_scores_gemma":[0.6200683,0.002980831,0.3230388,0.001129647,0.0002617852,0.001733961,0.002909983,0.0007494283,0.04712726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008379086,"threshold_uncertainty_score":0.02803081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0269729965519396,"score_gpt":0.2585551363668527,"score_spread":0.2315821398149131,"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."}}