{"id":"W6939757571","doi":"10.7910/dvn/fmk6sq/vnuj23","title":"654389_1_S1_PS-1.jpg-(Colour_1).tif","year":2020,"lang":"fr","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Process (computing); Identification (biology); Product (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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00140008,0.003931294,0.003183927,0.006829296,0.001724118,0.005592484,0.004923249,0.004025443,0.5417122],"category_scores_gemma":[0.01020385,0.001517718,0.002031058,0.01148201,0.0008471197,0.003792383,0.003945686,0.002490699,0.5231823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002539729,"about_ca_system_score_gemma":0.003051842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03930378,"about_ca_topic_score_gemma":0.04818074,"domain_scores_codex":[0.998722,0.000187782,0.000122344,0.0004333449,0.0002100487,0.0003244824],"domain_scores_gemma":[0.9962409,0.001270977,0.0003109201,0.0007447752,0.000994541,0.0004379393],"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":[0.00003933111,0.000008657153,0.0001681562,0.0006225053,0.00001874185,0.000007400223,0.00001826948,0.00007744477,0.00006454864,0.000280631,0.9979182,0.0007760069],"study_design_scores_gemma":[0.0003576583,0.00001787862,0.00170534,0.0004839634,0.00003964686,0.00002825928,0.00007827189,0.0001398269,0.0002708666,0.001580603,0.9952461,0.00005147967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001852765,0.00003660162,0.00002109829,0.00004777045,0.00002236642,0.000004718746,0.9989706,0.0003095978,0.0005687103],"genre_scores_gemma":[0.0002421775,0.00007210718,0.0001313434,0.00008626446,0.00001703172,0.00006709408,0.9978484,0.0003473915,0.001188177],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4582878,"threshold_uncertainty_score":0.6536919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02687323751312987,"score_gpt":0.254561148038371,"score_spread":0.2276879105252412,"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."}}