{"id":"W4389272885","doi":"10.31219/osf.io/hk4gu","title":"Salmon Data Mobilization","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Hamburg; HORIZON EUROPE Framework Programme; Bishop's University; UK Research and Innovation; National Science Foundation","keywords":"Sketch; USable; Business; Community mobilization; Mobilization; Public relations; Best practice; Key (lock); Knowledge management; Environmental resource management; Political science; Computer science; Ecology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.115152,0.001216027,0.001414301,0.01045122,0.006725827,0.009200607,0.006104004,0.004111542,0.1156383],"category_scores_gemma":[0.2334522,0.001669069,0.001792827,0.008944982,0.004620092,0.009753202,0.03624903,0.005713928,0.06543522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005288059,"about_ca_system_score_gemma":0.04563028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005607914,"about_ca_topic_score_gemma":0.00520834,"domain_scores_codex":[0.9073532,0.03931239,0.01474965,0.01039115,0.02374941,0.004444116],"domain_scores_gemma":[0.7623614,0.06356248,0.01141889,0.0738721,0.07256234,0.01622287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006067753,0.0002319137,0.008856894,0.001590125,0.00008615018,0.000665624,0.01188432,0.0003968118,0.003441502,0.07638747,0.559245,0.3366074],"study_design_scores_gemma":[0.00005577283,0.00005557425,0.0009222544,0.0005648033,0.0000152117,0.0001094344,0.001564901,0.000279473,0.000855218,0.008481775,0.9870583,0.00003730246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.02278115,0.002589189,0.193414,0.1028449,0.008988979,0.02528918,0.03591279,0.01736902,0.5908108],"genre_scores_gemma":[0.1288995,0.00357112,0.3066616,0.04413888,0.004429403,0.03684798,0.0625223,0.01277031,0.400159],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.993896,"threshold_uncertainty_score":0.6089892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08255112684582996,"score_gpt":0.2928913720082714,"score_spread":0.2103402451624414,"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."}}