{"id":"W4365457989","doi":"10.7202/1097613ar","title":"Probe: A Brief Chart of Media Effects","year":2023,"lang":"en","type":"article","venue":"New Explorations","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Chart; Computer science; Psychology; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.001927235,0.002095713,0.00114594,0.003316127,0.001636474,0.004966751,0.002299719,0.001983531,0.05245464],"category_scores_gemma":[0.00758002,0.0008790005,0.0008775159,0.002026991,0.002751628,0.006493743,0.003205925,0.003067704,0.0178993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031593,"about_ca_system_score_gemma":0.001109463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001080909,"about_ca_topic_score_gemma":0.001261365,"domain_scores_codex":[0.9984731,0.0003592376,0.0001261139,0.0002035983,0.0007094491,0.0001284515],"domain_scores_gemma":[0.9961683,0.002498288,0.0001645753,0.0004695969,0.0005053963,0.0001937924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001743199,0.0002633873,0.001176883,0.003671495,0.00005032378,0.0007551697,0.001190431,0.0008816535,0.09537369,0.1331827,0.07006293,0.6916481],"study_design_scores_gemma":[0.00007731791,0.0009668229,0.00321482,0.001080546,0.00009805943,0.003737224,0.0006641658,0.002511314,0.06679145,0.08128861,0.8393422,0.0002274377],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0157123,0.1105299,0.4685159,0.01109855,0.007254806,0.002277645,0.008313077,0.01554166,0.3607562],"genre_scores_gemma":[0.138303,0.1405451,0.5004492,0.01214291,0.006597907,0.005082346,0.005859403,0.007332294,0.1836879],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05245464,"threshold_uncertainty_score":0.1754782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08802792585226613,"score_gpt":0.3099171829144698,"score_spread":0.2218892570622037,"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."}}