{"id":"W4206690859","doi":"10.46692/9781447352570.009","title":"Suburban community vignette","year":2021,"lang":"fr","type":"other","venue":"","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vignette; Geography; Psychology; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007535666,0.0002719599,0.0003304575,0.0000968008,0.0008430136,0.0001487121,0.0003994381,0.0004831078,0.375196],"category_scores_gemma":[0.0002131709,0.0002948167,0.0001468283,0.0006008669,0.0004925529,0.0001122682,0.00009065243,0.0004938536,0.001174058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651768,"about_ca_system_score_gemma":0.0002423979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09959148,"about_ca_topic_score_gemma":0.7621395,"domain_scores_codex":[0.9970641,0.0015598,0.0003026149,0.0002608467,0.0004319769,0.0003806704],"domain_scores_gemma":[0.9985807,0.0003955234,0.0002225752,0.0004648813,0.0001912863,0.0001450294],"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":[0.000008527014,0.0006717565,0.006255738,0.0004113868,0.0002178911,0.00001808666,0.1981946,0.0000142579,0.001239652,0.340051,0.4008062,0.05211085],"study_design_scores_gemma":[0.0001420096,0.00003305709,0.004798401,0.0001848429,0.00005254092,0.000001252027,0.03497081,0.0001243923,0.00005795881,0.001109172,0.9581807,0.0003448315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01570996,0.002346286,0.0004386603,0.004726696,0.001573371,0.000351627,0.00002802747,0.0001119065,0.9747134],"genre_scores_gemma":[0.01362929,0.001268169,0.000858169,0.001238071,0.00111735,0.00002292473,0.0004780117,0.0001050249,0.981283],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6625481,"threshold_uncertainty_score":0.9999504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1930757562905764,"score_gpt":0.3374667070583726,"score_spread":0.1443909507677962,"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."}}