{"id":"W4234763797","doi":"10.7287/peerj.preprints.549v1","title":"The Tao of Open Science for Ecology","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Research Data Management Practices","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mindset; Open science; Transparency (behavior); Openness to experience; Process (computing); Open data; Data sharing; Stewardship (theology); Best practice; Field (mathematics); Computer science; Knowledge management; Ecology; Engineering ethics; Sociology; Political science; Engineering; Psychology; World Wide Web; Social psychology","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.07340229,0.0007190573,0.00133667,0.003726218,0.01005543,0.02939665,0.002478888,0.007331525,0.01105308],"category_scores_gemma":[0.1116174,0.0008000321,0.001402993,0.004504701,0.06360888,0.04389097,0.01874073,0.0173618,0.002831486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007811867,"about_ca_system_score_gemma":0.01894158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002748013,"about_ca_topic_score_gemma":0.002360848,"domain_scores_codex":[0.931036,0.0424848,0.002853102,0.005860406,0.01603324,0.001732504],"domain_scores_gemma":[0.8093109,0.1195703,0.006230233,0.04758627,0.01102067,0.006281589],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002226842,0.00001517818,0.0003525935,0.0002083692,0.00002015231,0.00005394266,0.003439184,0.0002780407,0.0001379867,0.9581974,0.0101565,0.02711841],"study_design_scores_gemma":[0.00001007967,0.00001575447,0.0002465929,0.000418239,0.000007550941,0.00006127936,0.0008534732,0.0003549531,0.0002049999,0.8358,0.162004,0.00002306484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00983,0.02972024,0.2662772,0.4113612,0.007763346,0.0002207587,0.0003746517,0.001093624,0.273359],"genre_scores_gemma":[0.5579819,0.04373761,0.2594628,0.06354043,0.01491608,0.00175785,0.0006365944,0.00201231,0.05595441],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9975211,"threshold_uncertainty_score":0.388193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1886050663040118,"score_gpt":0.4681635619365362,"score_spread":0.2795584956325243,"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."}}