{"id":"W2187312288","doi":"10.36510/learnland.v2i2.296","title":"The High Wire of Success","year":2009,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Higher Education Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Curriculum; Balance (ability); Sociology; Mathematics education; Pedagogy; Computer science; Psychology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004998645,0.0004551577,0.0006709337,0.001847349,0.006236508,0.01196956,0.000843219,0.001749765,0.03321443],"category_scores_gemma":[0.01743186,0.000220035,0.0002949363,0.001601852,0.008084441,0.004379171,0.00866322,0.003443583,0.0109467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003243564,"about_ca_system_score_gemma":0.005283376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005943914,"about_ca_topic_score_gemma":0.007357167,"domain_scores_codex":[0.9909095,0.001624691,0.0002148692,0.0007128351,0.004102637,0.002435458],"domain_scores_gemma":[0.9815212,0.00237498,0.001018798,0.0009805334,0.004144326,0.009960222],"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":[0.0001472866,0.0002148651,0.03923203,0.0002248381,0.00007241344,0.0008164849,0.01479593,0.0001981658,0.0009689722,0.3555568,0.3223366,0.2654357],"study_design_scores_gemma":[0.00003107634,0.0001789263,0.0425457,0.000432207,0.00002279316,0.0006167,0.02047804,0.0002558105,0.0004982718,0.1078254,0.827035,0.0000800701],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.1005704,0.003902052,0.00442508,0.09853613,0.002620102,0.0001026741,0.0005001666,0.0003384629,0.7890049],"genre_scores_gemma":[0.8845376,0.002194263,0.001162562,0.00743534,0.001000721,0.0001132652,0.0003205958,0.0002814321,0.1029542],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03321443,"threshold_uncertainty_score":0.1111133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01285830299156072,"score_gpt":0.3448702166629633,"score_spread":0.3320119136714026,"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."}}