{"id":"W4417316690","doi":"10.5194/ica-abs-10-211-2025","title":"Behavioural Dynamics and Geospatial Insights: A Framework for Reducing Household GHG Emissions through Tailored Strategies","year":2025,"lang":"en","type":"article","venue":"Abstracts of the ICA","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de Recherche et de Développement en Agroenvironnement; Université Laval","funders":"Environment and Climate Change Canada","keywords":"Geospatial analysis; Greenhouse gas; System dynamics; Climate change; Work (physics); Sustainability","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005384374,0.0001269799,0.0002297096,0.0001021615,0.0003405628,0.0002284053,0.0005226622,0.0001510092,0.000006878653],"category_scores_gemma":[0.001516919,0.00007857948,0.0001367084,0.0004188828,0.0001741091,0.0003335398,0.0001129498,0.0002081795,7.754008e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001780644,"about_ca_system_score_gemma":0.0001327627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004766369,"about_ca_topic_score_gemma":0.0002595238,"domain_scores_codex":[0.9983652,0.00005160046,0.00062951,0.0003116501,0.0004586749,0.000183373],"domain_scores_gemma":[0.9976372,0.001223758,0.0003611296,0.0005385596,0.0001955452,0.00004386505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006304724,0.0007710564,0.01898147,0.0001742132,0.0002673617,0.00000617706,0.01420628,0.1175899,0.003842069,0.7596648,0.008492675,0.07537355],"study_design_scores_gemma":[0.0003640926,0.00006713218,0.08546282,0.0003104492,0.00009415163,0.000002307633,0.009487933,0.0275898,0.001029909,0.8751558,0.000275292,0.0001603036],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524565,0.0001997343,0.04234236,0.002449002,0.0005022133,0.0002507849,0.00004347545,0.00003418165,0.001721745],"genre_scores_gemma":[0.9890415,0.00004574744,0.01042073,0.0001269644,0.0000244602,0.00001436012,0.000006328333,0.00000894705,0.0003109449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.115491,"threshold_uncertainty_score":0.3204378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024029533670898,"score_gpt":0.3720945377521027,"score_spread":0.2696915843850129,"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."}}