{"id":"W4231782964","doi":"10.3765/salt.v0i0.2659","title":"Counterfactuals and Conditional Questions under Discussion","year":2015,"lang":"en","type":"article","venue":"Proceedings from Semantics and Linguistic Theory","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Counterfactual conditional; Counterfactual thinking; Context (archaeology); Similarity (geometry); Possible world; Set (abstract data type); Computer science; Measure (data warehouse); Order (exchange); Epistemology; Mathematical economics; Artificial intelligence; Mathematics; Data mining; Philosophy; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004671038,0.0001184982,0.0001404368,0.00005972397,0.0001436536,0.0002507996,0.0001300898,0.00005835363,0.000007316157],"category_scores_gemma":[0.0004224404,0.00008173114,0.00001591814,0.00006083568,0.00006838125,0.0001639182,0.0001190848,0.00008274911,0.000009989124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001974386,"about_ca_system_score_gemma":0.00003001404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003628894,"about_ca_topic_score_gemma":0.00000194738,"domain_scores_codex":[0.99918,0.0000180708,0.0001859668,0.0002854147,0.0001955389,0.000135046],"domain_scores_gemma":[0.9993433,0.0001152181,0.0001055772,0.00008244319,0.0001984916,0.0001549789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007783003,0.00002968955,0.002168995,0.00002374712,0.0000176654,0.000001785479,0.00412058,0.000004226357,0.0005905963,0.9922936,0.0002931525,0.0004481995],"study_design_scores_gemma":[0.0006106497,0.00007007221,0.01511477,0.0001632457,0.00003911998,0.00002272506,0.0008857218,0.04976237,0.000296411,0.9285175,0.004251042,0.0002664121],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.370308,0.0008201062,0.6239424,0.001447864,0.0009790134,0.0002585842,0.00003855414,0.000179218,0.002026303],"genre_scores_gemma":[0.9954947,0.000031262,0.003794898,0.000153652,0.0002805349,0.000005922551,0.0000116388,0.000008263889,0.0002191193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6251867,"threshold_uncertainty_score":0.3332899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413020928452269,"score_gpt":0.2584263423601211,"score_spread":0.2342961330755984,"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."}}