{"id":"W6930918080","doi":"10.5281/zenodo.1578166","title":"Cammini LTER: walking and cycling with citizens across Italian ecosystems","year":2018,"lang":"en","type":"article","venue":"Figshare","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Anesthesia Research Foundation","funders":"","keywords":"Citizen science; Variety (cybernetics); Process (computing); Biodiversity; Recreation; Public engagement; Ecosystem; Behavioural sciences","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":[0.00263715,0.0005390751,0.0002847397,0.001002723,0.003789569,0.00206737,0.0008895997,0.001728972,0.01799405],"category_scores_gemma":[0.004082998,0.0002703845,0.0004728605,0.0009591157,0.001458299,0.001457949,0.003818296,0.001069171,0.00563702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101048,"about_ca_system_score_gemma":0.001385638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005498211,"about_ca_topic_score_gemma":0.02570458,"domain_scores_codex":[0.9984317,0.0009199272,0.00002883606,0.0001980376,0.0001234918,0.00029792],"domain_scores_gemma":[0.9976559,0.0005813671,0.0001319352,0.0004591825,0.0002096255,0.0009620386],"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":[0.001243269,0.001539744,0.0590627,0.0008077314,0.00005251882,0.002438505,0.1062047,0.0005395022,0.007685602,0.007759126,0.3588496,0.453817],"study_design_scores_gemma":[0.0002161302,0.001410192,0.07754982,0.0005210683,0.00005104189,0.0008082303,0.04415186,0.001035892,0.002096128,0.004949604,0.8670712,0.0001388731],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6814908,0.002197267,0.02048753,0.02343198,0.002374431,0.002863564,0.006132153,0.004117358,0.2569051],"genre_scores_gemma":[0.7978359,0.001410343,0.0568311,0.00642307,0.001142347,0.005305855,0.006151461,0.001164576,0.1237354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01799405,"threshold_uncertainty_score":0.0601961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574750856271875,"score_gpt":0.2371197652529133,"score_spread":0.2113722566901945,"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."}}