{"id":"W6977214448","doi":"10.6084/m9.figshare.19778290","title":"Additional file 1 of The impacts of observational learning and word-of-mouth learning on farmers’ use of biogas in rural Hubei, China: does interpersonal trust play a role?","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Interpersonal communication; Observational study; Biogas; Government (linguistics); Negotiation; Sustainability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001760894,0.0006222166,0.0006625247,0.001444687,0.0007480886,0.0006755969,0.001023594,0.0007221579,0.6597846],"category_scores_gemma":[0.02012654,0.0003451235,0.0004460674,0.002943233,0.000182364,0.001127851,0.0006087506,0.0007724911,0.04764972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206208,"about_ca_system_score_gemma":0.002553429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03151871,"about_ca_topic_score_gemma":0.03690462,"domain_scores_codex":[0.9993228,0.0001890359,0.0001413422,0.0001073535,0.000141371,0.00009817806],"domain_scores_gemma":[0.9853968,0.01007576,0.00114434,0.0004900939,0.002575144,0.0003178776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002511023,0.0002493225,0.009331636,0.003176369,0.00003742422,0.00005667642,0.0004168211,0.0003748675,0.0000900567,0.0009070203,0.9666063,0.0185023],"study_design_scores_gemma":[0.006033743,0.0008894337,0.3114093,0.005341193,0.0003025606,0.0002715185,0.006982094,0.00434316,0.0009616572,0.007229301,0.6559954,0.000240708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001767537,0.0000246665,0.0002561648,0.0001812533,0.00002210745,0.0003977653,0.9954842,0.00007946172,0.001786713],"genre_scores_gemma":[0.0538472,0.0002847922,0.006009956,0.0008496636,0.0001014279,0.01853365,0.8924919,0.0002156332,0.02766575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6597846,"threshold_uncertainty_score":0.485276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04230706727789504,"score_gpt":0.2398999618966946,"score_spread":0.1975928946187995,"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."}}