{"id":"W2346556701","doi":"10.15517/lank.v3i2.23035","title":"Conservation through education","year":2016,"lang":"en","type":"article","venue":"Lankesteriana","topic":"Environmental Education and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Apheresis Group","funders":"","keywords":"Sowing; Agricultural science; Profit (economics); Class (philosophy); Mathematics; Agronomy; Computer science; Biology; Economics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009044713,0.0003560212,0.0002286856,0.0009074659,0.002317963,0.005191587,0.0005844109,0.002007382,0.2976285],"category_scores_gemma":[0.00229183,0.0001432152,0.0002701781,0.0008682006,0.001357162,0.003302083,0.004529717,0.002068111,0.0510879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282907,"about_ca_system_score_gemma":0.005760935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008351145,"about_ca_topic_score_gemma":0.02563203,"domain_scores_codex":[0.9993205,0.0001353964,0.00002217333,0.000090119,0.0002691355,0.0001627642],"domain_scores_gemma":[0.9990097,0.0001245846,0.00005298034,0.0001362097,0.0002463779,0.0004300997],"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":[0.000008707233,0.00009977015,0.0006166217,0.0001303619,0.000002979927,0.00003978913,0.0005137716,0.00008358326,0.0001832558,0.06984203,0.6021144,0.3263647],"study_design_scores_gemma":[0.000001153844,0.000004693079,0.0004888956,0.0001097249,6.444721e-7,0.00002445615,0.0001838004,0.00001763053,0.00004520309,0.00362377,0.9954983,0.000001683697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007520784,0.001780323,0.0007649829,0.021318,0.0009565835,0.00003838585,0.000184668,0.0001845231,0.9740205],"genre_scores_gemma":[0.01800693,0.003420767,0.00200075,0.006881072,0.0003364962,0.00004966037,0.0003125781,0.00009883747,0.9688929],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2976285,"threshold_uncertainty_score":0.9956664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004411775642865,"score_gpt":0.2506726339185031,"score_spread":0.2406285161620745,"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."}}