{"id":"W1992654105","doi":"10.5539/jsd.v7n6p175","title":"Mobile Garden: Seeding the Knowledge to Harvest the Sustainability in the School","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Relevance (law); Theme (computing); Reuse; Questionnaire; Environmental education; Medical education; Psychology; Sociology; Pedagogy; Medicine; Computer science; Engineering; Social science; Political science; Ecology; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004122235,0.000104536,0.0001281725,0.00004101958,0.000802463,0.0002106698,0.0007187841,0.00002733233,0.00008891499],"category_scores_gemma":[0.001500164,0.00002564371,0.0000493272,0.001013948,0.0000764815,0.0001662742,0.0001948744,0.0002460703,0.00002136567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000486065,"about_ca_system_score_gemma":0.0002750275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004388746,"about_ca_topic_score_gemma":0.0001156756,"domain_scores_codex":[0.9986622,0.0001884658,0.0003949166,0.0001126546,0.0003330661,0.0003087331],"domain_scores_gemma":[0.9976392,0.0006298293,0.0001683218,0.00007352912,0.001437195,0.00005196654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002192627,0.002072421,0.1552025,0.0001875155,0.0002599755,0.00007478575,0.1541554,0.001386575,0.0009943555,0.1122266,0.4258799,0.1473407],"study_design_scores_gemma":[0.00004128727,0.00006670327,0.3493877,0.000008499593,0.000003369924,0.00000679693,0.201487,0.000002139583,0.0000224856,0.0008826131,0.4480475,0.00004390012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627533,0.000177579,0.000009955118,0.03221723,0.0001566655,0.000527906,4.130636e-7,0.000004997461,0.004151967],"genre_scores_gemma":[0.9942424,0.00000998527,0.00009862633,0.0008567292,0.0003300713,0.0000993985,0.000001001097,7.524253e-7,0.004361022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1941852,"threshold_uncertainty_score":0.6171978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02009746026239919,"score_gpt":0.2624868499586095,"score_spread":0.2423893896962104,"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."}}