{"id":"W6940062628","doi":"10.6084/m9.figshare.c.6403370.v1","title":"Central Coast Cumulative Effects Project","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cumulative effects; Habitat; Fishing; West coast; Adaptive management; Climate change; Critical habitat; Land management; Baseline (sea)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007994164,0.0008625536,0.0005280672,0.003949275,0.003849731,0.006302058,0.003285315,0.00145052,0.1840051],"category_scores_gemma":[0.01441227,0.0005150076,0.0007442815,0.00363379,0.00117548,0.002110603,0.005157144,0.002479941,0.03650396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00829873,"about_ca_system_score_gemma":0.04666974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2733918,"about_ca_topic_score_gemma":0.4422576,"domain_scores_codex":[0.9957436,0.0008551064,0.0001762114,0.0004958361,0.002163595,0.0005657144],"domain_scores_gemma":[0.9820331,0.001938127,0.0005604772,0.001448069,0.01124173,0.00277843],"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":[0.0002113404,0.000125208,0.004552745,0.0003772807,0.00003731142,0.0001483535,0.0006281611,0.0002952526,0.000213584,0.01523801,0.8044547,0.1737181],"study_design_scores_gemma":[0.00003865527,0.00003065828,0.004124261,0.0003089743,0.00002006467,0.00003516542,0.0004195231,0.0001037722,0.00008854931,0.001623073,0.9931923,0.00001511924],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009106027,0.003908756,0.007799007,0.02432119,0.002704262,0.001805126,0.07683442,0.003221301,0.8702999],"genre_scores_gemma":[0.05696616,0.007982733,0.03914064,0.01345909,0.0007189864,0.004653741,0.0970778,0.003632476,0.7763684],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2733918,"threshold_uncertainty_score":0.6155583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681694956727559,"score_gpt":0.2824889552371932,"score_spread":0.2356720056699176,"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."}}