{"id":"W2962276790","doi":"10.5194/gc-2-143-2019","title":"Education and public engagement using an active research project: lessons and recipes from the SEA-SEIS North Atlantic Expedition's programme for Irish schools","year":2019,"lang":"en","type":"article","venue":"Geoscience Communication","topic":"Science Education and Perceptions","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"EaglePicher (Canada)","funders":"European Regional Development Fund; Geological Survey of Ireland; Science Foundation Ireland","keywords":"Irish; Adventure; Celtic languages; Public engagement; Creativity; Class (philosophy); Library science; Political science; Geography; History; Public relations; Archaeology; Computer science; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002187808,0.00009410825,0.00009001707,0.0001868508,0.001601835,0.0005115295,0.0006778956,0.00006150488,0.000136932],"category_scores_gemma":[0.000534903,0.00007650381,0.00001947884,0.0007784464,0.0004806341,0.0008989677,0.0001707878,0.0003360921,0.00002920966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001083675,"about_ca_system_score_gemma":0.0006238383,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01166211,"about_ca_topic_score_gemma":0.002827338,"domain_scores_codex":[0.997896,0.0008454344,0.0001767916,0.000442044,0.0002825114,0.0003572396],"domain_scores_gemma":[0.9976001,0.0007378305,0.0001183366,0.001002024,0.0004267998,0.0001148485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003723181,0.001248589,0.520196,0.0000150438,0.00001923461,6.086925e-8,0.07068443,0.000003408715,0.001212344,0.006221296,0.01321914,0.3871433],"study_design_scores_gemma":[0.0002138753,0.000102479,0.8113492,0.00003304136,0.00001087665,0.000005738466,0.1626239,0.001309733,0.0000102494,0.001510364,0.02270397,0.0001266055],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854354,0.0002028786,0.0005247159,0.01128265,0.0004106729,0.001582576,0.000039942,0.00003320098,0.0004879577],"genre_scores_gemma":[0.9918823,0.000150042,0.006125659,0.0003087802,0.0001333591,0.0007754001,0.0002887028,0.000008697049,0.0003270137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3870167,"threshold_uncertainty_score":0.9996979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4885425707939784,"score_gpt":0.5209089817577863,"score_spread":0.03236641096380793,"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."}}