{"id":"W4399248547","doi":"10.1002/ece3.11179","title":"Harnessing open science practices to teach ecology and evolutionary biology using interactive tutorials","year":2024,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Toronto; University of Northern British Columbia; Université du Québec à Montréal; University of British Columbia, Okanagan Campus; University of Guelph; University of British Columbia; University of Regina; McGill University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Ecology; Biology; Evolutionary ecology; Ecology and Evolutionary Biology; Data science; Computer science; Host (biology)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001654193,0.0001114789,0.0001730638,0.0003744082,0.0009011786,0.0006085181,0.0005836079,0.000115534,0.0000362244],"category_scores_gemma":[0.001227108,0.0001068215,0.00001398306,0.0005788441,0.0003016673,0.002776335,0.001223653,0.0002620476,0.00006398551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000339277,"about_ca_system_score_gemma":0.0007880691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002218062,"about_ca_topic_score_gemma":0.0000582589,"domain_scores_codex":[0.9983889,0.0003372714,0.0001992661,0.0006814774,0.00007230609,0.0003207624],"domain_scores_gemma":[0.9989657,0.0004785395,0.000151427,0.0001610888,0.0001227033,0.0001205466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001062532,0.0002452906,0.1924761,0.00006802811,0.00009274466,0.00002519042,0.01003551,0.0005797643,0.09026694,0.6879035,0.003722135,0.01447852],"study_design_scores_gemma":[0.0003247642,0.0005013335,0.861795,0.00007646592,0.00003437913,0.0004707886,0.002859754,0.08640387,0.0002591141,0.02209252,0.02482278,0.0003592352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662762,0.0004355519,0.01571306,0.00751831,0.005901909,0.0003678482,0.000001504377,0.0001043953,0.003681221],"genre_scores_gemma":[0.980848,0.00001839574,0.01830008,0.0003055602,0.0002144679,0.00002786573,0.000002397805,0.00000526911,0.0002780374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6693189,"threshold_uncertainty_score":0.6931228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03592073503357095,"score_gpt":0.3769742769628177,"score_spread":0.3410535419292467,"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."}}