{"id":"W2186665446","doi":"10.36510/learnland.v5i2.551","title":"Informal Science Contexts: Implications for Formal Science Learning","year":2012,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Affordance; Informal learning; Informal education; Science learning; Formal learning; Learning sciences; Scientific literacy; Science education; Formal science; Mathematics education; Sociology; Engineering ethics; Computer science; Pedagogy; Psychology; Higher education; Epistemology; Experiential learning; Engineering; Human–computer interaction; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0008755533,0.0001180204,0.000118919,0.0001258649,0.003807919,0.0005610496,0.0003109618,0.00002401478,0.0004043413],"category_scores_gemma":[0.0002416101,0.00008687854,0.00005755816,0.0001431466,0.0005541417,0.003114673,0.0001036189,0.0002075039,0.0000763214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002751313,"about_ca_system_score_gemma":0.00007816701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003053145,"about_ca_topic_score_gemma":0.00005012573,"domain_scores_codex":[0.9986699,0.00001044838,0.0001794476,0.000171399,0.0002087149,0.0007600798],"domain_scores_gemma":[0.9992988,0.00006358718,0.0001055003,0.000110153,0.0002624685,0.0001594957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002219503,0.00004203063,0.03379501,0.00003766095,0.000009394631,8.337398e-8,0.06134907,0.0001639067,0.003907339,0.8610914,0.0003370948,0.03924479],"study_design_scores_gemma":[0.0003218848,0.0001559508,0.03780733,0.00002292148,0.00001296698,0.000006631951,0.009910293,0.0008553528,0.0003203589,0.00009789083,0.950242,0.0002463555],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366796,0.0002097673,0.0002405092,0.0002935277,0.0004508125,0.0002289152,0.000007259895,0.0002183436,0.1616713],"genre_scores_gemma":[0.9929863,0.000008083356,0.0001868355,0.0001151807,0.0006131944,0.00004913071,0.00001358253,0.00001102525,0.006016691],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.949905,"threshold_uncertainty_score":0.997489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759813864530689,"score_gpt":0.2669754451917766,"score_spread":0.2393773065464697,"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."}}