{"id":"W6999764493","doi":"","title":"Design for assembly : an exploration of emergent grassroots agricultural innovation networks","year":2023,"lang":"fr","type":"other","venue":"Archipelago (Université du Québec à Montréal)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Grassroots; Perspective (graphical); Work (physics); Emerging technologies; Context (archaeology)","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"],"consensus_categories":[],"category_scores_codex":[0.0005903088,0.0005913203,0.0006165126,0.001351482,0.0005574749,0.00008489671,0.001191615,0.0005779166,0.0001824058],"category_scores_gemma":[0.0002182921,0.0006201695,0.0001997631,0.002706554,0.0002461959,0.003066545,0.0003727958,0.0005791314,0.0001241827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007925916,"about_ca_system_score_gemma":0.0004101219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02827487,"about_ca_topic_score_gemma":0.2759479,"domain_scores_codex":[0.9969459,0.0003343658,0.000772125,0.0009383389,0.0003990146,0.0006102325],"domain_scores_gemma":[0.9959826,0.0004254176,0.001366475,0.0007696621,0.001366626,0.00008920625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003398629,0.0005778572,0.0002050508,0.0001298414,0.000780919,0.00006841727,0.06308674,0.03379868,0.007085247,0.6571879,0.01721939,0.2195201],"study_design_scores_gemma":[0.004606184,0.005601122,0.02149034,0.001217937,0.0007176865,0.0001040025,0.03525019,0.8295113,0.004466145,0.03107995,0.06261426,0.003340818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08194598,0.0003186621,0.9090658,0.003513372,0.001899537,0.001468404,0.00001729232,0.0006179328,0.001152986],"genre_scores_gemma":[0.9438771,0.0003946229,0.02972865,0.000187934,0.0007802234,0.0001953064,0.0002773639,0.0004624213,0.0240964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8793372,"threshold_uncertainty_score":0.999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04247407746544704,"score_gpt":0.2351341406748693,"score_spread":0.1926600632094223,"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."}}