{"id":"W4395086157","doi":"10.1017/9781009343756.001","title":"Introduction","year":2024,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004975605,0.0008491825,0.0005174325,0.001610774,0.001880643,0.004803229,0.001433336,0.002331845,0.3548602],"category_scores_gemma":[0.002145865,0.0003289444,0.0004231465,0.001693333,0.001051245,0.003891413,0.002287824,0.00276612,0.1806885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002286102,"about_ca_system_score_gemma":0.001591828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00345944,"about_ca_topic_score_gemma":0.004392822,"domain_scores_codex":[0.9992894,0.00009884773,0.00003225279,0.000179648,0.0003309537,0.00006882327],"domain_scores_gemma":[0.9993655,0.000162286,0.00002996275,0.00007139744,0.0002933301,0.00007750549],"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":[0.00002135107,0.00003216238,0.0001309955,0.0002598779,0.000002485486,0.00009880415,0.0007950923,0.000169655,0.000266927,0.1132238,0.7951701,0.08982883],"study_design_scores_gemma":[6.315409e-7,0.000002669833,0.00004844604,0.0000851258,3.98494e-7,0.00003714363,0.00006584941,0.00001383687,0.00002469652,0.003447673,0.996272,0.00000161126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005367027,0.00686492,0.00280216,0.005590639,0.005468954,0.00009116041,0.001647494,0.0003799615,0.9766181],"genre_scores_gemma":[0.003230784,0.004579196,0.001708834,0.002212926,0.001199891,0.00007790032,0.001611028,0.0002849807,0.9850944],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6451398,"threshold_uncertainty_score":0.9202136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0708068360623658,"score_gpt":0.2508384872342026,"score_spread":0.1800316511718368,"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."}}