{"id":"W4405713405","doi":"10.29173/hsi461","title":"Interview with Peter Moller: Technology for sustainability: Helping farmers save water with innovation, listening & creativity","year":2022,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Active listening; Creativity; Sustainability; Psychology; Business; Sociology; Social psychology; Communication; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00230333,0.000244209,0.0003420629,0.0004220571,0.00249031,0.00005489596,0.0006220325,0.00003451047,0.0001595558],"category_scores_gemma":[0.0000863495,0.0001621916,0.00003012603,0.002934287,0.002865422,0.0005025422,0.001308917,0.0002553872,0.000008797749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001947787,"about_ca_system_score_gemma":0.0002700969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003226537,"about_ca_topic_score_gemma":0.0003482303,"domain_scores_codex":[0.9966491,0.00009320267,0.0004410808,0.0009279443,0.0007433393,0.001145344],"domain_scores_gemma":[0.9989015,0.00004791198,0.0002185043,0.0005494402,0.0001639828,0.0001186265],"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":[0.002266889,0.002393394,0.4753956,0.002769806,0.0002923592,0.0001440407,0.136283,0.03509187,0.02186383,0.09788094,0.01576689,0.2098514],"study_design_scores_gemma":[0.006077702,0.0179342,0.05974097,0.0006191548,0.0001088721,0.001128744,0.1556468,0.002894772,0.0195679,0.1492323,0.5828618,0.004186815],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9291214,0.0001199433,0.02442653,0.04073444,0.0003717112,0.00174509,0.00002041927,0.0002601837,0.003200249],"genre_scores_gemma":[0.9902928,0.000002802214,0.005249286,0.00299439,0.00003038193,0.0007908215,0.0000118441,0.00002520296,0.0006024814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5670949,"threshold_uncertainty_score":0.9998482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05603027584782645,"score_gpt":0.3227614208578024,"score_spread":0.266731145009976,"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."}}