{"id":"W2194603168","doi":"","title":"Teletreball, gènere i territori: una comparació entre Catalunya, Ardèche i el Québec : tesi doctoral","year":2006,"lang":"ca","type":"article","venue":"Dialnet (Universidad de la Rioja)","topic":"Employment, Labor, and Gender Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Political science; Art","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006659323,0.0006826295,0.0008336989,0.0003181787,0.001851419,0.0004444704,0.001101022,0.000615593,0.0009158652],"category_scores_gemma":[0.0001160364,0.000763158,0.0004332677,0.001206822,0.001481478,0.0006895133,0.0003516993,0.0006737456,0.0004218472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157654,"about_ca_system_score_gemma":0.001664288,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4126577,"about_ca_topic_score_gemma":0.4040339,"domain_scores_codex":[0.9951364,0.0008678688,0.0004920901,0.0009868589,0.001018828,0.001497952],"domain_scores_gemma":[0.9975201,0.0006948339,0.0004271724,0.0006441659,0.0002465284,0.0004671996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001701488,0.001082496,0.4355976,0.0001816778,0.0006729044,0.0007183005,0.08033714,0.0001233574,0.000422074,0.07537033,0.3994715,0.005852405],"study_design_scores_gemma":[0.001825085,0.0001753752,0.1891911,0.0001438115,0.0003787812,0.000009776192,0.03963448,0.00006008129,0.0001743825,0.003484248,0.7638207,0.001102133],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6927973,0.006859096,0.0000591903,0.008855595,0.001931363,0.0006608922,0.0004240862,0.0003788508,0.2880336],"genre_scores_gemma":[0.9576338,0.000706728,0.0001898612,0.0003537538,0.002675596,0.00001207441,0.0001295243,0.00006045142,0.03823825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3643492,"threshold_uncertainty_score":0.9999974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548789731636252,"score_gpt":0.2891605019491468,"score_spread":0.2736726046327843,"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."}}