{"id":"W4389085118","doi":"10.1002/wcc.869","title":"Varieties of approaches to constructing physical climate storylines: A review","year":2023,"lang":"en","type":"review","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"Horizon 2020 Framework Programme","keywords":"Counterfactual thinking; Perspective (graphical); Value (mathematics); Climate change; Adaptation (eye); Diversity (politics); Climate science; Narrative; Computer science; Key (lock); Argument (complex analysis); Climate model; Data science; Sociology; Epistemology; Psychology; Social psychology; Artificial intelligence; Linguistics; Ecology","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":[0.006183838,0.001304774,0.00174017,0.01060266,0.0006129587,0.003910937,0.002186921,0.001810644,0.004217812],"category_scores_gemma":[0.01736571,0.0007801671,0.00126637,0.01282939,0.002370812,0.005451888,0.001644616,0.002544015,0.00121658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534574,"about_ca_system_score_gemma":0.00466596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004820412,"about_ca_topic_score_gemma":0.006791325,"domain_scores_codex":[0.9975872,0.001067436,0.0003778616,0.0003120397,0.0005760125,0.00007950234],"domain_scores_gemma":[0.9819692,0.0152735,0.001006017,0.0002725359,0.001308255,0.0001705312],"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":[0.0000528979,0.00006093548,0.000364447,0.08452015,0.0002686869,0.0001143447,0.00156759,0.0007711272,0.0002579719,0.04157772,0.01413313,0.856311],"study_design_scores_gemma":[0.00001912247,0.00006817654,0.0019603,0.1033891,0.0003732489,0.0006023375,0.001414452,0.0002867108,0.0003179555,0.01471194,0.8767911,0.00006546851],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001255357,0.9976655,0.0004470539,0.000475641,0.00009063484,0.00001171887,0.00002051709,0.000006862921,0.001156432],"genre_scores_gemma":[0.001722624,0.996988,0.0008921357,0.0001472754,0.00006316833,0.00002358205,0.00002250646,0.000004357717,0.0001363501],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01060266,"threshold_uncertainty_score":0.03270364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4227183309461528,"score_gpt":0.3978952278285365,"score_spread":0.02482310311761632,"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."}}