{"id":"W2806651215","doi":"","title":"Polisemia e polivalenza dei connettivi : \"perché\" e i corrispondenti in francese","year":2007,"lang":"it","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Linguistic Association","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0133176,0.0008261833,0.0009740075,0.0007290976,0.0006849327,0.0009399689,0.003806339,0.0007546672,0.0007195633],"category_scores_gemma":[0.004691435,0.0009181579,0.0004380374,0.001523003,0.0005780658,0.0003332333,0.004052633,0.001710322,0.0002654099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474573,"about_ca_system_score_gemma":0.0006075818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806198,"about_ca_topic_score_gemma":0.005473768,"domain_scores_codex":[0.9877151,0.006140879,0.001505898,0.002003674,0.001291229,0.001343272],"domain_scores_gemma":[0.987151,0.003797913,0.001018561,0.003935131,0.003635457,0.0004619776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001529637,0.003825622,0.03580374,0.001254812,0.000496598,0.0007058433,0.2312236,0.0003471578,0.002226462,0.4737338,0.007998561,0.2422309],"study_design_scores_gemma":[0.01045493,0.00001291072,0.3782704,0.03624103,0.0005974661,0.0003760157,0.007889977,0.298641,0.0556528,0.03939682,0.1630437,0.009423018],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2119312,0.01537079,0.5920759,0.009869949,0.003341407,0.001636573,0.0002052338,0.0005296796,0.1650393],"genre_scores_gemma":[0.9496322,0.002418677,0.03519668,0.001007488,0.0003133573,0.00008352708,0.0002661615,0.00008630229,0.01099557],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7377011,"threshold_uncertainty_score":0.9993269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552229595639372,"score_gpt":0.253564190729798,"score_spread":0.2380418947734042,"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."}}