{"id":"W6969366054","doi":"10.5683/sp3/ubpqb8","title":"Data from: Direction matching for sparse movement data sets: determining interaction rules in social groups","year":2020,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Movement (music); Matching (statistics); Set (abstract data type); Data set; Test (biology); Baboon; Group (periodic table); Motion (physics)","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":[0.004989404,0.000455187,0.0006520014,0.002144814,0.000564496,0.0008944818,0.001132205,0.001282502,0.003452112],"category_scores_gemma":[0.02418339,0.0003125184,0.001219324,0.002032642,0.0005945686,0.000953114,0.001308752,0.0007773156,0.002058159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928475,"about_ca_system_score_gemma":0.0005637146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006811743,"about_ca_topic_score_gemma":0.01080022,"domain_scores_codex":[0.9974079,0.001281245,0.0002797198,0.000515828,0.0003829656,0.0001323106],"domain_scores_gemma":[0.9898406,0.005139056,0.001143929,0.002656237,0.0008930825,0.0003271638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002275413,0.001045512,0.5604203,0.001093772,0.001142269,0.0009128868,0.001770026,0.09278019,0.0194172,0.004851522,0.03949751,0.2747936],"study_design_scores_gemma":[0.0004401221,0.0006839639,0.4158781,0.000195604,0.0001985002,0.0007322521,0.001042878,0.5345203,0.007045295,0.01023634,0.02885347,0.0001732881],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.8116925,0.000387286,0.1344722,0.0009966065,0.0001942067,0.00073017,0.04484478,0.002755793,0.003926391],"genre_scores_gemma":[0.8078477,0.00009647402,0.1314837,0.0001421941,0.00005466332,0.0007412664,0.05830273,0.0002482929,0.001082933],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.006811743,"threshold_uncertainty_score":0.0263868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1512463802360798,"score_gpt":0.3729746102951171,"score_spread":0.2217282300590374,"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."}}