{"id":"W3036813536","doi":"10.15252/embr.202050738","title":"Parenting researchers—an invisible divide","year":2020,"lang":"en","type":"article","venue":"EMBO Reports","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Library science; Political science; Chemistry; Engineering; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09423949,0.0007846903,0.001440569,0.006813983,0.01540216,0.02637052,0.003506458,0.01831572,0.02044402],"category_scores_gemma":[0.1263205,0.001105443,0.0006388796,0.003706043,0.05443827,0.04429944,0.0316715,0.02231439,0.003408382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006839585,"about_ca_system_score_gemma":0.01661903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002915329,"about_ca_topic_score_gemma":0.00472426,"domain_scores_codex":[0.9488811,0.0310087,0.00217509,0.004325651,0.009393954,0.004215579],"domain_scores_gemma":[0.7312797,0.1888566,0.007894179,0.01711556,0.01296565,0.04188822],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005341215,0.00007652702,0.001428634,0.0002436883,0.00002487437,0.0003275574,0.02631226,0.00004883616,0.0002468521,0.7768177,0.1209925,0.07342709],"study_design_scores_gemma":[0.00007215956,0.00005599681,0.001049437,0.001358777,0.00002450356,0.0003636085,0.03154071,0.000133116,0.0001801297,0.4376598,0.5275089,0.00005281511],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004234373,0.02632724,0.002114666,0.9205995,0.009650204,0.00001293783,0.00004424356,0.00007637206,0.03694043],"genre_scores_gemma":[0.3910463,0.04706236,0.005129003,0.4760425,0.04174981,0.0003281661,0.0001345546,0.0005328339,0.0379745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9057605,"threshold_uncertainty_score":0.498392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1391616302695225,"score_gpt":0.3695706804900978,"score_spread":0.2304090502205753,"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."}}