{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003580583,0.0009704101,0.0004043575,0.001369026,0.002882681,0.00421209,0.002274746,0.003997061,0.04534051],"category_scores_gemma":[0.002799522,0.0003203542,0.0006298681,0.001298373,0.001544747,0.004758762,0.007800894,0.001978618,0.01662308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002670031,"about_ca_system_score_gemma":0.003352897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009861242,"about_ca_topic_score_gemma":0.01306726,"domain_scores_codex":[0.995933,0.001340024,0.0001241647,0.0004771909,0.0009390289,0.001186646],"domain_scores_gemma":[0.9978445,0.0002542972,0.0001074764,0.0001820683,0.0004159184,0.001195606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001803449,0.0008947613,0.006494333,0.001455043,0.0001320542,0.006269528,0.004837442,0.02313448,0.00774436,0.5686791,0.2731219,0.1054336],"study_design_scores_gemma":[0.0001285509,0.0003363604,0.002367111,0.0005406566,0.00002691986,0.001321647,0.003219918,0.01046718,0.003849827,0.05071082,0.9269378,0.00009324007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08167149,0.003279182,0.1226182,0.009051945,0.001729787,0.002141032,0.007160487,0.003443975,0.7689038],"genre_scores_gemma":[0.6674998,0.002866823,0.09009738,0.002622731,0.0005416319,0.001381489,0.01375184,0.001029732,0.2202085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04534051,"threshold_uncertainty_score":0.1516791,"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."}}