{"id":"W4220681486","doi":"10.21125/inted.2022.0535","title":"DEVELOPING A TRANSDISCIPLINARY CITIZEN SCIENCE TOOL FOR EXPERIENTIAL LEARNING IN UNDERGRADUATE EDUCATION: SQUIRREL LIFE IN A NUTSHELL","year":2022,"lang":"en","type":"article","venue":"INTED proceedings","topic":"Service-Learning and Community Engagement","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Citizen science; China; Library science; Sociology; Computer science; Pedagogy; Political science; Physics","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":[0.008274239,0.0009723053,0.0005836558,0.001647174,0.001249842,0.00400419,0.001523795,0.00141906,0.0135105],"category_scores_gemma":[0.01123713,0.0005449091,0.0009099243,0.000868041,0.0007816614,0.004660309,0.007142244,0.001607774,0.006739558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000440751,"about_ca_system_score_gemma":0.00121277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000408055,"about_ca_topic_score_gemma":0.001210203,"domain_scores_codex":[0.9967979,0.001705009,0.0002298126,0.0004341829,0.0006405802,0.0001925564],"domain_scores_gemma":[0.9898375,0.005003605,0.0002876727,0.002217966,0.001097335,0.001555875],"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":[0.001302098,0.004610598,0.01656977,0.001779126,0.0002205108,0.0008238053,0.04634806,0.001952993,0.05844117,0.01827607,0.04880047,0.8008753],"study_design_scores_gemma":[0.0007808072,0.004810643,0.02902105,0.002051461,0.0002469739,0.002594759,0.03416236,0.04612463,0.04080018,0.05873758,0.7800732,0.0005964193],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1587075,0.0004078329,0.7328948,0.003485188,0.0004437128,0.003090513,0.001798386,0.04495196,0.05422004],"genre_scores_gemma":[0.1639496,0.0002590057,0.8080164,0.0007472334,0.00006874333,0.002085885,0.002636129,0.00273886,0.01949809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135105,"threshold_uncertainty_score":0.04519713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03727959840340072,"score_gpt":0.3456639984698693,"score_spread":0.3083844000664686,"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."}}