{"id":"W2739443880","doi":"10.1079/tourism.2022.0026","title":"Robotics Programming Kids for Leisure","year":2022,"lang":"en","type":"article","venue":"Tourism Cases","topic":"Child Welfare and Adoption","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excellence; Government (linguistics); Logo (programming language); Sociology; Political science; Pedagogy; Social science; Law; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000293782,0.00004851831,0.00007200538,0.00002924109,0.001262563,0.00004718631,0.00009796857,0.00002417387,0.0002497915],"category_scores_gemma":[0.00008678918,0.00005235741,0.00006473767,0.0001331647,0.00004631651,0.00006878003,0.00003907146,0.00007398378,0.000003108765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006140327,"about_ca_system_score_gemma":0.00007842841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008588238,"about_ca_topic_score_gemma":0.0003023767,"domain_scores_codex":[0.9993502,0.00005613562,0.00008089585,0.000112113,0.0002009656,0.0001996954],"domain_scores_gemma":[0.9996888,0.0001170212,0.00003911959,0.00007395815,0.00002987498,0.00005123834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001288811,0.0007231319,0.01414486,0.00006719216,0.00007153201,0.0004809677,0.02030593,0.00528366,0.0001136564,0.1854743,0.2579793,0.5152266],"study_design_scores_gemma":[0.0001507222,0.000111605,0.00031562,0.000003141079,0.00001783257,0.000008711295,0.003862557,0.00003231555,0.00001691065,0.001234423,0.9941441,0.000102028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9065757,0.00212425,0.007049404,0.04916175,0.003719544,0.003180525,0.0001744091,0.001007443,0.02700699],"genre_scores_gemma":[0.9926208,0.00001655817,0.001980304,0.000165948,0.0007865712,0.0000786501,0.00002750761,0.000009208334,0.004314504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7361649,"threshold_uncertainty_score":0.971074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03614027422956294,"score_gpt":0.3159279684147864,"score_spread":0.2797876941852235,"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."}}