{"id":"W4401873118","doi":"10.1016/j.biocon.2024.110717","title":"A framework for optimising opportunistic collaborative syntheses to propel ecological conservation","year":2024,"lang":"en","type":"article","venue":"Biological Conservation","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"ConocoPhillips; Gordon and Betty Moore Foundation; Fondation Bertarelli; Smithsonian Institution","keywords":"Nature Conservation; Environmental resource management; Ecology; Geography; Environmental planning; Environmental science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005554435,0.0001583828,0.0002132805,0.00003560948,0.0003158318,0.00006393797,0.0002178676,0.000308547,0.002735309],"category_scores_gemma":[0.002763232,0.0001175731,0.0000570641,0.0003867405,0.0002878663,0.0001148985,0.0001694035,0.0002097776,0.0003495814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229371,"about_ca_system_score_gemma":0.00006307659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005994656,"about_ca_topic_score_gemma":0.0001459762,"domain_scores_codex":[0.9986962,0.00031857,0.0002694986,0.0003828679,0.00006434226,0.0002685067],"domain_scores_gemma":[0.9968784,0.002755043,0.00006096111,0.0001692123,0.00004514897,0.00009120699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001753544,0.0008685141,0.03453564,0.0001576833,0.0001628834,0.00005231291,0.001817783,0.0009106058,0.2811004,0.4814557,0.1741222,0.02306272],"study_design_scores_gemma":[0.0003426914,0.003637908,0.1453539,0.0002663378,0.00007551999,0.00002528678,0.000533645,0.01515866,0.002010984,0.1776408,0.6539571,0.0009971475],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9275656,0.00005079464,0.05171715,0.01656457,0.0003854762,0.001432607,0.0001190009,0.0002337168,0.001931111],"genre_scores_gemma":[0.9577278,0.00002454985,0.03299069,0.008562228,0.00006699237,0.000253118,0.000169715,0.000009867644,0.0001950342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4798349,"threshold_uncertainty_score":0.9981763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175504792008738,"score_gpt":0.3267026012296364,"score_spread":0.2091521220287625,"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."}}