{"id":"W3212398013","doi":"10.5281/zenodo.5517457","title":"Chapter 2.2 Status and Trends –Nature","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science","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":[0.001114879,0.0005556838,0.0002847198,0.003225923,0.0006990663,0.003385419,0.0007265568,0.001103042,0.0697543],"category_scores_gemma":[0.00196058,0.0002285792,0.0003539665,0.005939788,0.0004505094,0.003173835,0.000965887,0.001932153,0.03280497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00137414,"about_ca_system_score_gemma":0.002196461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006438758,"about_ca_topic_score_gemma":0.006875265,"domain_scores_codex":[0.9991591,0.00005348,0.00004318083,0.0001294646,0.0005485975,0.0000660829],"domain_scores_gemma":[0.9990786,0.0001737215,0.000112175,0.00008664859,0.0004610242,0.00008778501],"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":[0.00003485101,0.00002971423,0.0006466124,0.001201418,0.000008881996,0.00003335493,0.0002386978,0.0003114587,0.001017394,0.04095618,0.7050071,0.2505143],"study_design_scores_gemma":[4.866788e-7,0.00000391892,0.0005169843,0.0001867416,0.00000150518,0.00002064997,0.00002745124,0.00001465047,0.00008732727,0.001100941,0.9980367,0.000002673695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00304118,0.1456035,0.00375012,0.02021682,0.01846433,0.0002338665,0.01891919,0.001363975,0.7884071],"genre_scores_gemma":[0.02422789,0.1902971,0.008621937,0.008748268,0.009401844,0.0004689048,0.04023825,0.001414582,0.7165812],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0697543,"threshold_uncertainty_score":0.2333514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0132805934228716,"score_gpt":0.1985947667454271,"score_spread":0.1853141733225555,"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."}}