{"id":"W2606927186","doi":"10.1145/3081016.3081020","title":"Pilot Studies","year":2017,"lang":"en","type":"article","venue":"GetMobile Mobile Computing and Communications","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Human–computer interaction; Scale (ratio); Multimedia","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":[0.01779565,0.002285662,0.001192351,0.001182947,0.00293804,0.001817191,0.0029686,0.002931542,0.04322171],"category_scores_gemma":[0.03848796,0.001004546,0.001468116,0.0006759666,0.00156454,0.002637201,0.001908212,0.003965182,0.009827906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814377,"about_ca_system_score_gemma":0.004355298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314089,"about_ca_topic_score_gemma":0.004250539,"domain_scores_codex":[0.9921491,0.003895659,0.0006860232,0.001184039,0.001067817,0.001017387],"domain_scores_gemma":[0.9547981,0.02071253,0.001605608,0.005807009,0.01296967,0.004107157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05952593,0.2104873,0.0181882,0.01459385,0.001325865,0.004667401,0.02103478,0.005469241,0.05466911,0.01231705,0.128878,0.4688434],"study_design_scores_gemma":[0.02669425,0.4288192,0.04022068,0.002985085,0.001102546,0.001789264,0.01515423,0.003271235,0.04219739,0.01006708,0.4273641,0.0003348556],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4403289,0.002727821,0.06550217,0.003133006,0.003318323,0.4089102,0.007116574,0.002693731,0.06626921],"genre_scores_gemma":[0.500913,0.002623215,0.1086647,0.006443735,0.001209762,0.3108472,0.006321465,0.000697131,0.06227981],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04322171,"threshold_uncertainty_score":0.144591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04912881267477763,"score_gpt":0.3644747948441281,"score_spread":0.3153459821693504,"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."}}