{"id":"W7144680156","doi":"","title":"集団的消費者紛争におけるADR (裁判外紛争解決手続) やODR (オンライン紛争解決手続) の活用","year":2024,"lang":"en","type":"report","venue":"Institutional Repositories DataBase (IRDB)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tribunal; Settlement (finance); Agency (philosophy); Flexibility (engineering); Online dispute resolution; Dispute resolution; Economic Justice","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":[0.003953118,0.0003913249,0.0004267595,0.001571601,0.002047452,0.006009757,0.001131236,0.001431033,0.02182521],"category_scores_gemma":[0.005316162,0.0003229007,0.0005487731,0.0007224717,0.004020849,0.004093941,0.002064046,0.002081718,0.00644593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00307487,"about_ca_system_score_gemma":0.003302485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0080137,"about_ca_topic_score_gemma":0.007448313,"domain_scores_codex":[0.9959741,0.0009111235,0.0002915945,0.0007178005,0.001607913,0.0004973728],"domain_scores_gemma":[0.9962507,0.001103321,0.0004884934,0.0004480479,0.001325903,0.0003836314],"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":[0.0006615043,0.000783254,0.02344221,0.0007796823,0.0001938506,0.002088441,0.00885832,0.001558545,0.03955845,0.5583799,0.03486439,0.3288314],"study_design_scores_gemma":[0.0003738699,0.001022768,0.06376559,0.0004742127,0.0003827948,0.004307834,0.01436861,0.005403399,0.08128861,0.2273492,0.6008981,0.0003648646],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.164854,0.004540607,0.03969752,0.01224875,0.001076774,0.0006468825,0.0007710529,0.0006218487,0.7755425],"genre_scores_gemma":[0.797491,0.002101619,0.02868817,0.003808317,0.000580063,0.0002372477,0.000438666,0.00008957388,0.1665653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02182521,"threshold_uncertainty_score":0.07301253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05553370224218152,"score_gpt":0.33815943526619,"score_spread":0.2826257330240085,"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."}}