{"id":"W6892753980","doi":"10.5281/zenodo.1211160","title":"Horse Competence Centres Scenarios","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"European Commission","keywords":"Competence (human resources); Robotics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002057611,0.0001048185,0.0001016883,0.0001110618,0.0009189604,0.0004592989,0.0005365771,0.00004389017,0.005013848],"category_scores_gemma":[0.00008518399,0.0001079898,0.00002765372,0.0003128095,0.0001105888,0.0001275975,0.000260785,0.0001283584,0.01558571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000668244,"about_ca_system_score_gemma":0.000001043615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007009114,"about_ca_topic_score_gemma":3.120936e-7,"domain_scores_codex":[0.9990628,0.00007539907,0.0001718664,0.0001878754,0.0002013605,0.00030066],"domain_scores_gemma":[0.9992904,0.000007684128,0.00002826133,0.00030092,0.0002493366,0.0001233916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002719878,0.000127422,0.00001888629,0.0002363478,0.0001323636,0.00004333454,0.003397078,0.01178966,0.05847884,0.008622284,0.8177445,0.09938212],"study_design_scores_gemma":[0.0001973711,0.00008311257,0.0003437082,0.00004189032,0.000005097859,0.00005347256,0.0001442927,0.05312224,0.001513702,0.00003986088,0.9443026,0.0001526896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1834331,0.0004297661,0.03766325,0.0006781767,0.001545332,0.001039208,0.0002830101,0.01184239,0.7630858],"genre_scores_gemma":[0.9980029,0.00004253476,0.0002891607,0.00003568495,0.0002295375,9.726426e-9,0.0001809802,0.0008728854,0.0003462867],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8145698,"threshold_uncertainty_score":0.9958957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212916871342799,"score_gpt":0.2137740625335489,"score_spread":0.192482375399269,"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."}}