{"id":"W7005717826","doi":"","title":"A social economy partnership for a sustainable co-development","year":2009,"lang":"en","type":"book","venue":"Human Development Resource Network (HDRNet)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social economy; General partnership; Sustainable development; Service economy; Quality (philosophy); Social sustainability; Social change; Social entrepreneurship","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008035635,0.0007623056,0.0003099931,0.0007779199,0.001537028,0.004403567,0.000701774,0.003010034,0.1094292],"category_scores_gemma":[0.001020519,0.0002728782,0.0003086201,0.001077155,0.0007549807,0.002933732,0.003076178,0.003757293,0.07656458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002840382,"about_ca_system_score_gemma":0.006712792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314589,"about_ca_topic_score_gemma":0.05401988,"domain_scores_codex":[0.9994342,0.00006398781,0.00001599145,0.00005709002,0.0003374106,0.00009130289],"domain_scores_gemma":[0.9994661,0.0000527674,0.00002229449,0.0000394936,0.0002043613,0.0002149663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004530014,0.00002076312,0.00005432242,0.00004876577,0.000001621746,0.0000500088,0.00007822301,0.0000700068,0.0001774524,0.03447376,0.906768,0.05825236],"study_design_scores_gemma":[8.669637e-7,0.000002068344,0.00005500523,0.00002208508,2.829647e-7,0.00003515195,0.00002195611,0.00002342672,0.00002680669,0.0009238128,0.9988871,0.000001418288],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0003034911,0.006555149,0.002524077,0.01014631,0.004407705,0.0001357049,0.0003733927,0.0004971647,0.9750569],"genre_scores_gemma":[0.001182065,0.001608098,0.001479479,0.001225763,0.0001024446,0.00003827771,0.0001592001,0.0001330381,0.9940717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1094292,"threshold_uncertainty_score":0.3660773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702140320887689,"score_gpt":0.2805851493197724,"score_spread":0.2635637461108954,"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."}}