{"id":"W6887978820","doi":"10.17910/b7.896","title":"ManyBabies 1: Walkthrough videos","year":2019,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of British Columbia; University of Manitoba","funders":"","keywords":"Software walkthrough; Mascot; Pluralistic walkthrough; Preference","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":[0.001005133,0.002386313,0.001196028,0.003280335,0.001158587,0.001521466,0.001812046,0.002411476,0.08481767],"category_scores_gemma":[0.005113082,0.0006193842,0.000899581,0.003445473,0.000425719,0.001298323,0.002236147,0.00143699,0.1110141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001289526,"about_ca_system_score_gemma":0.001533307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03252297,"about_ca_topic_score_gemma":0.1080367,"domain_scores_codex":[0.9989944,0.0002536359,0.00009838073,0.0002771252,0.0002029171,0.0001735751],"domain_scores_gemma":[0.9979621,0.000488566,0.0001485998,0.0004868015,0.0006370838,0.0002769112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001326685,0.00008876525,0.0009459061,0.0005611601,0.00002082062,0.00004815091,0.00008162899,0.0001057952,0.0002091975,0.000166244,0.9909275,0.006712288],"study_design_scores_gemma":[0.0003244404,0.0001252738,0.01873172,0.0007208658,0.0000365009,0.0002278884,0.0005645119,0.0008756157,0.0009294319,0.001056936,0.9763158,0.00009100366],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001530486,0.0002506548,0.0002550879,0.0001126584,0.0000726568,0.0001931858,0.9941158,0.001184007,0.002285479],"genre_scores_gemma":[0.001620221,0.00008322638,0.0007091554,0.00005819531,0.00001411758,0.000577705,0.9941782,0.0001168576,0.002642255],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08481767,"threshold_uncertainty_score":0.2837434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08816439117444354,"score_gpt":0.3697024814481846,"score_spread":0.281538090273741,"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."}}