{"id":"W1496284695","doi":"","title":"Future Temporal Reference in Hexagonal French","year":2012,"lang":"en","type":"article","venue":"Scholarly Commons (University of Pennsylvania)","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Hierarchy; Constraint (computer-aided design); Linguistics; Verb; Distribution (mathematics); Extant taxon; History; Geography; Political science; Mathematics","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":[0.001322102,0.0001646756,0.0001778117,0.00122483,0.003186605,0.003767344,0.0004071578,0.0007166916,0.009110938],"category_scores_gemma":[0.00318891,0.0001148834,0.0002453349,0.001365557,0.002853332,0.002815401,0.0008991217,0.0005078904,0.0005617139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009254643,"about_ca_system_score_gemma":0.003917716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4239701,"about_ca_topic_score_gemma":0.4733807,"domain_scores_codex":[0.9991364,0.000269072,0.00002406977,0.0002006163,0.0001239578,0.0002459105],"domain_scores_gemma":[0.9987603,0.0001805886,0.0001388637,0.000169046,0.000623074,0.000128121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001443203,0.00001203662,0.01025801,0.00004947799,0.00001089313,0.0005068675,0.04429553,0.0005529353,0.002964616,0.8789306,0.003913561,0.05836116],"study_design_scores_gemma":[0.00004073025,0.0001030908,0.0834234,0.0003055157,0.00005170398,0.001452073,0.06671052,0.002953016,0.002390468,0.1705275,0.6719334,0.0001086202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3880424,0.003608999,0.01422081,0.006053238,0.0002329901,0.0000254861,0.0004931964,0.0001803507,0.5871425],"genre_scores_gemma":[0.9812487,0.0004271766,0.002209791,0.0001202733,0.00003084763,0.000006608238,0.0001007531,0.00003880778,0.01581699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4239701,"threshold_uncertainty_score":0.8430046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04238516535169694,"score_gpt":0.2780413828233612,"score_spread":0.2356562174716643,"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."}}