{"id":"W4307195359","doi":"10.31223/x5mw67","title":"Forest data to insights and experiences using gamification","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Data science; Psychology; Computer science","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":[0.001066245,0.0004243384,0.0002558254,0.003731896,0.0005734207,0.001092065,0.0004245391,0.0004946938,0.02682369],"category_scores_gemma":[0.01581334,0.0001699335,0.0004099595,0.005110845,0.0004784502,0.001083949,0.001205764,0.000894305,0.007681819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000437655,"about_ca_system_score_gemma":0.0007527056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01669336,"about_ca_topic_score_gemma":0.03529807,"domain_scores_codex":[0.9987732,0.0003185119,0.00006812404,0.0002516489,0.0003741236,0.0002145202],"domain_scores_gemma":[0.9897357,0.005927182,0.0006435711,0.001422386,0.001936892,0.0003342371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00314714,0.001334642,0.2726321,0.001769903,0.0002145567,0.0006692882,0.01110702,0.01292387,0.008239043,0.04304456,0.2295652,0.4153527],"study_design_scores_gemma":[0.0001922494,0.0003070924,0.4350709,0.0008775538,0.0001277337,0.0006426153,0.01047225,0.02989191,0.007775482,0.05895712,0.4555685,0.0001165879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4993853,0.0007109056,0.05578475,0.000678214,0.0001903126,0.001065022,0.3285758,0.004331237,0.1092784],"genre_scores_gemma":[0.6758776,0.0003760526,0.04488921,0.0001735139,0.00004866728,0.001791257,0.2517436,0.0009240656,0.024176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02682369,"threshold_uncertainty_score":0.0897342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2026996559283404,"score_gpt":0.4233447853291525,"score_spread":0.2206451294008121,"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."}}