{"id":"W4229332168","doi":"10.1016/j.jveb.2022.04.003","title":"Measuring the unseen – novel approaches to desire and intent","year":2022,"lang":"en","type":"article","venue":"Journal of Veterinary Behavior","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health PEI","funders":"","keywords":"Affection; Matching (statistics); Psychology; Preference; Boldness; Perspective (graphical); Exploratory research; Social psychology; Developmental psychology; Demography; Medicine; Statistics; Computer science; Personality; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027267,0.00007953765,0.0001034662,0.0000448071,0.0001921517,0.00002248444,0.0001677346,0.00001701243,0.00002145354],"category_scores_gemma":[0.00002513948,0.0000584029,0.00007253664,0.00003843822,0.00003369177,0.000005056118,0.0003853705,0.0001559289,9.490009e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003073228,"about_ca_system_score_gemma":0.00001909507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003245621,"about_ca_topic_score_gemma":0.000001568555,"domain_scores_codex":[0.9993955,0.00005275025,0.0001959652,0.0001062944,0.0001521503,0.0000973464],"domain_scores_gemma":[0.9996618,0.000009801849,0.000118616,0.0001080388,0.00005284699,0.00004888021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003748623,0.0001717798,0.002458433,0.000005245922,0.0000645488,0.00005271036,0.0004568745,0.00005590864,0.9924918,0.00001507887,0.0004913873,0.003361306],"study_design_scores_gemma":[0.002341355,0.0256416,0.4705346,0.000076957,0.0004929744,0.02945555,0.02078114,0.00003231293,0.1128567,0.00002023187,0.3369268,0.0008397253],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985793,0.0004286324,0.0002266824,0.0003600203,0.0002055714,0.0001006523,0.000006059322,0.000002028216,0.00009108942],"genre_scores_gemma":[0.9988561,0.00001792127,0.0005565098,0.0001589078,0.0001244327,0.00003800573,0.000001117304,0.00001111383,0.0002359008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8796352,"threshold_uncertainty_score":0.2381601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3280715584964379,"score_gpt":0.3630464212519496,"score_spread":0.0349748627555117,"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."}}