{"id":"W6912873037","doi":"10.5441/001/1.j484vk24/1","title":"Elk in southwestern Alberta","year":2020,"lang":"en","type":"dataset","venue":"Movebank","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Natural selection; Movement (music); Predation; Adaptation (eye); Sexual selection","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":[0.000206682,0.000307349,0.0002469674,0.0007115355,0.001601399,0.0007010564,0.0006777137,0.0003230996,0.003534477],"category_scores_gemma":[0.0002347284,0.0001838571,0.0001449241,0.001140828,0.0004094384,0.0002056251,0.0004657571,0.0002851439,0.0008550924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005914757,"about_ca_system_score_gemma":0.003122584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9401423,"about_ca_topic_score_gemma":0.9839911,"domain_scores_codex":[0.9998423,0.00000882612,0.000005371985,0.00003974033,0.00004513695,0.00005855858],"domain_scores_gemma":[0.9998197,0.00001213414,0.00003186719,0.000008059702,0.00008254315,0.00004577289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003831225,0.0001416008,0.9369155,0.00009747656,0.00006951079,0.002769125,0.004945891,0.0005103623,0.004947184,0.0003247227,0.006690033,0.04220542],"study_design_scores_gemma":[0.00001111875,0.00002577042,0.9856266,0.00004095128,0.00001914357,0.0002874628,0.005573136,0.0003389531,0.0001798846,0.00007339014,0.007814269,0.000009128433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.9841247,0.0005567732,0.0003164758,0.0002185653,0.00003131443,0.00004052945,0.002130239,0.00004410542,0.01253729],"genre_scores_gemma":[0.9545025,0.001101275,0.001808325,0.0005391969,0.00002185083,0.00005912323,0.005033703,0.0000295985,0.03690437],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.05985767,"threshold_uncertainty_score":0.1204203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836751512435507,"score_gpt":0.2564495995673107,"score_spread":0.2380820844429556,"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."}}