{"id":"W4416597945","doi":"10.5256/f1000research.10232.d144345","title":"R survey results","year":2016,"lang":"en","type":"dataset","venue":"Faculty of 1000 Research Ltd","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Trillium Foundation","keywords":"","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005908789,0.006482484,0.002702797,0.00736058,0.001553712,0.004386772,0.00543013,0.003220469,0.1866087],"category_scores_gemma":[0.0409326,0.001527179,0.004325922,0.007379292,0.001156249,0.002634098,0.003177781,0.003274136,0.3784918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001452218,"about_ca_system_score_gemma":0.004259124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01029482,"about_ca_topic_score_gemma":0.03093385,"domain_scores_codex":[0.9934302,0.002084135,0.0005615921,0.002064619,0.001274601,0.0005848172],"domain_scores_gemma":[0.9849087,0.005916771,0.0006355512,0.00584764,0.002008398,0.0006829367],"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":[0.00006455326,0.0000218532,0.0002681414,0.0003948445,0.00004931919,0.00001184007,0.000007728383,0.0002538377,0.00006069321,0.0002593347,0.9952126,0.003395377],"study_design_scores_gemma":[0.0009886331,0.00009122784,0.002000195,0.0005972262,0.0002218983,0.0001777876,0.00005355439,0.002823989,0.0008353362,0.005662656,0.9864742,0.00007330126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007201953,0.0008729194,0.002328135,0.0005340796,0.0002979924,0.0001315563,0.9741502,0.0144769,0.006488096],"genre_scores_gemma":[0.001422936,0.0003707393,0.004303434,0.0005246635,0.00007272202,0.0004551855,0.9838991,0.003945394,0.005005687],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1866087,"threshold_uncertainty_score":0.6242684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432304643996067,"score_gpt":0.439039174534775,"score_spread":0.2958087101351683,"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."}}