{"id":"W2146340916","doi":"10.1007/s00442-010-1825-8","title":"Marking live conifer pollen for long-distance dispersal experiments","year":2010,"lang":"en","type":"article","venue":"Oecologia","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Biology; Biological dispersal; Pollen; Ecology; Demography","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":[0.00100646,0.0008825812,0.0006650587,0.0006968516,0.001860881,0.0004747592,0.001346385,0.001277476,0.004700025],"category_scores_gemma":[0.001010363,0.0005074805,0.0004284634,0.0003703575,0.000960072,0.000835698,0.0005796675,0.002624897,0.0006746134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006849718,"about_ca_system_score_gemma":0.0006132378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004754448,"about_ca_topic_score_gemma":0.01264706,"domain_scores_codex":[0.9991708,0.0002274291,0.00006552396,0.000256557,0.0000837683,0.0001960687],"domain_scores_gemma":[0.9982633,0.000527773,0.00028084,0.0003969996,0.0001328365,0.0003983354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004840261,0.007393959,0.009908061,0.00007251825,0.00004526643,0.0003100177,0.0008992669,0.0005740505,0.968388,0.0004323245,0.0003715805,0.006764707],"study_design_scores_gemma":[0.002411252,0.05266522,0.1519877,0.00003446552,0.0002970102,0.001025799,0.001085956,0.004129625,0.7773565,0.0005286587,0.008317145,0.000160661],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976482,0.00003889221,0.001044714,0.00002854136,0.00002724038,0.0002166955,0.0002442559,0.00003447789,0.0007169672],"genre_scores_gemma":[0.9827335,0.0001461732,0.006319603,0.0002040287,0.00003050853,0.001537549,0.0007470058,0.000134139,0.008147484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004754448,"threshold_uncertainty_score":0.01572317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001477368398432,"score_gpt":0.2642724572370904,"score_spread":0.2542576835531061,"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."}}