{"id":"W3122567227","doi":"10.1007/978-3-030-62666-2_4","title":"Case Study – Methods","year":2021,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in environmental science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Calculator; Ecological footprint; Footprint; Sampling (signal processing); Geography; Environmental resource management; Computer science; Environmental science; Ecology; Sustainability; Archaeology; Telecommunications","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":[0.00495616,0.001415364,0.0006637733,0.006228755,0.002262472,0.003488486,0.003366995,0.00167836,0.1379563],"category_scores_gemma":[0.006726379,0.0006187453,0.001026807,0.005733222,0.001557001,0.002305503,0.003690785,0.001350739,0.01872977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002782512,"about_ca_system_score_gemma":0.003794915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003838666,"about_ca_topic_score_gemma":0.008348824,"domain_scores_codex":[0.994917,0.002792874,0.0003323776,0.00068573,0.0009373332,0.0003347099],"domain_scores_gemma":[0.9972839,0.001469803,0.0001459555,0.0004465421,0.0004820963,0.0001716833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004834268,0.001513731,0.002391893,0.005662212,0.00007747889,0.002076313,0.007791596,0.00421041,0.004130696,0.1767558,0.09654175,0.6983646],"study_design_scores_gemma":[0.0001989678,0.000361374,0.003723714,0.002692873,0.00006832113,0.001462865,0.01302166,0.002013269,0.002748753,0.0458006,0.927842,0.0000656175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.03289258,0.008775702,0.2026441,0.002789045,0.001210875,0.04701742,0.01052867,0.0006314689,0.6935102],"genre_scores_gemma":[0.1539234,0.01117352,0.3577415,0.00204877,0.0004330164,0.07084355,0.01146482,0.0005797324,0.3917916],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1379563,"threshold_uncertainty_score":0.4615099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140330918065819,"score_gpt":0.3050903646594501,"score_spread":0.2836870554787919,"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."}}